Introduction:
Hi, I’m Shalaka — a Data Analytics Consultant at Amazon Web Services, where I work within the AWS Analytics team. I have over 9 years of experience in the data engineering field, specializing in building and optimizing large-scale data platforms using technologies like Amazon Redshift, AWS Glue, Amazon EMR, Step Functions, and serverless architectures.
In my current role, I help customers design, migrate, and modernize their data warehouses and data lakes on AWS. One of my key focus areas has been leading complex data migrations.
Journey in PostgreSQL`
My journey with PostgreSQL started through my work in data engineering, where I encountered it as the backbone of many enterprise data pipelines. At Amazon, it deepened as I began working extensively with Aurora PostgreSQL and RDS PostgreSQL, helping customers migrate from legacy systems like Teradata and Oracle to PostgreSQL-compatible engines. This hands-on experience naturally led me to the community — speaking at PgConf India and Postgres Bangalore events, sharing real-world learnings around migrations and cloud-native PostgreSQL architectures..
Can you share a pivotal moment or project in your PostgreSQL career that has been particularly meaningful to you?
One of the most meaningful projects was leading the migration of tables from a legacy Teradata system to a PostgreSQL-compatible engine on AWS for a major healthcare organization . I led an 8-member partner team, redesigned the architecture into a serverless framework, and handled 15 TB of historical data. What made it pivotal wasn’t just the technical complexity — it was seeing how PostgreSQL’s ecosystem on AWS could deliver enterprise-grade performance at scale, and it gave me real-world stories to bring back to the community at PgConf and pgblr. That project solidified my belief that PostgreSQL is ready for the most demanding enterprise workloads.
Contributions and Achievements:
While my contributions are more on the applied and community side rather than core PostgreSQL source code, I’m proud of the impact I’ve made in advancing PostgreSQL adoption and knowledge sharing:
Published 5 reusable solution patterns focused on PostgreSQL-compatible migrations — including patterns for migrating legacy data warehouses to Amazon Redshift, adopted by multiple teams.
Presented at PGConf India 2024 and PGConf 2025 — sharing real-world lessons on migrating enterprise workloads to PostgreSQL-compatible engines on AWS. My sessions reached 100 participants with a 4.9/5 CSAT rating.
Active speaker at Postgres Women and pgblr events, advocating for PostgreSQL adoption and helping bridge the gap between cloud-native architectures and the PostgreSQL ecosystem
(II) Have you faced any challenges in your work with PostgreSQL, and how did you overcome them?
Yes, one of the biggest challenges was migrating 15 TB of legacy Teradata data to a PostgreSQL-compatible engine for a major healthcare organization — dealing with SQL incompatibilities like QUALIFY clauses and proprietary functions that had no direct PostgreSQL equivalents. I overcame this by building reusable conversion patterns and standardizing the translation approach with my team. Another challenge was handling sensitive PII fields securely in PostgreSQL environments, which I solved using encryption, secrets management, and mock data masking. I turned these challenges into community resources by presenting the learnings at PGConf 2024, PGConf 2025, and pgblr events.
Community Involvement:
I engage with the PostgreSQL community across multiple dimensions — as a speaker, mentor, content creator, and advocate.
(II) Can you share your experience with mentoring or supporting other women in the PostgreSQL ecosystem?
I actively speak at Postgres Women events to share my journey and make the space more accessible for women in the PostgreSQL ecosystem. I’ve mentored 15 participants in an exam booster program, many of whom were women looking to advance in data and cloud technologies, and I regularly guide newcomers on career paths and building confidence to speak at events. I also believe visibility matters — presenting at PGConf 2024, PGConf 2025, and pgblr as a woman leading enterprise-scale PostgreSQL migration sessions helps normalize women’s presence in these technical spaces. My philosophy is simple: lift as you climb.
Insights and Advice:
My advice is simple: start with the fundamentals — SQL, indexing, query optimization — and build confidence through hands-on projects rather than waiting to feel “ready.” Join communities like Postgres Women and pgblr early, because having a support network makes the journey less isolating and accelerates your growth. Don’t underestimate the power of visibility — write a blog, give a lightning talk, or present at a meetup; every small step builds your professional identity. And most importantly, lift as you climb — once you gain experience, reach back and help the next woman find her place in the PostgreSQL community.
(II) Are there any resources (books, courses, forums) you’d recommend to someone looking to deepen their PostgreSQL knowledge?
I’d recommend the official PostgreSQL documentation (postgresql.org), joining communities like Postgres Women and pgblr for real-world learning, and most importantly — setting up your own instance and getting hands-on, because practice teaches you more than any book.
Looking Forward:
I’m most excited about PostgreSQL’s growing role in AI/ML workloads — extensions like pgvector are making PostgreSQL a viable vector database for generative AI applications, eliminating the need for separate specialized databases.
(II) Do you have any upcoming projects or goals within the PostgreSQL community that you can share?
My goals are to publish more reusable patterns around PostgreSQL migrations for the broader community and to explore content around pgvector and AI/ML use cases with PostgreSQL, bridging data engineering with the evolving GenAI ecosystem.
Personal Reflection:
Being part of the PostgreSQL community means belonging to a space that values openness, collaboration, and continuous learning. It’s given me a platform to share my real-world experiences, learn from brilliant practitioners, and grow both technically and personally. Most importantly, it’s where I found my voice as a speaker and mentor — and it reminds me that technology is best when it’s built and shared together.
(II) How do you balance your professional and personal life, especially in a field that is constantly evolving?
Honestly, it’s an ongoing practice rather than a perfect formula. I balance it by being intentional — I set boundaries around learning time rather than trying to chase every new technology at once. I focus on depth over breadth, picking areas like PostgreSQL migrations and cloud-native architectures that align with both my work and my community interests, so they reinforce each other rather than compete for time. Community events like pgblr and PGConf actually energize me — they don’t feel like extra work because they combine learning, networking, and giving back in one space. And I remind myself that rest and personal time aren’t a luxury — they’re what keep me creative and effective in a field that never stops evolving.
Message to the community
To the PostgreSQL community — thank you for being a space that values openness and collaboration. And to the women who are part of it or thinking about joining: you belong here. Don’t wait until you feel like an expert to contribute — your questions, your perspectives, and your experiences matter at every stage of your journey. Start small — attend a meetup, ask a question, write about something you learned. The PostgreSQL community is one of the most welcoming in tech, and every voice makes it stronger. And remember, you don’t have to do it alone — find your people at Postgres Women, pgblr, or PGConf, and lift each other as you grow. The world of databases needs more diverse voices shaping its future.
Talk Title: PostgresML: Revolutionizing Machine Learning with SQL
In today’s data-driven world, organizations often struggle with complex machine learning infrastructures and data movement challenges. This talk introduces PostgresML, a game-changing PostgreSQL extension that brings machine learning capabilities directly into your database. We’ll explore how PostgresML enables developers and data teams to perform sophisticated ML operations using familiar SQL commands, eliminating the need for separate ML systems. Through live demonstrations, we’ll showcase practical implementations of model training, real-time predictions, and GPU acceleration features. Whether you’re a database engineer, ML practitioner, or technical lead, you’ll learn how to leverage PostgresML to simplify your ML pipeline, enhance security, and accelerate deployment. Join us to discover how this innovative tool is bridging the gap between traditional database operations and modern machine learning workflows.
Talk Title: Developers are decision-makers now. DevRel gets you there faster
DevRel as a role has existed since the 1990s, yet it remains one of the least understood roles in tech. Whether due to changing definitions, role titles, or evolving industries, DevRel has transformed significantly over the past few years—yet it continues to shape the devtool landscape. Since 2023, we’ve seen explosive AI growth alongside a surge in tech companies and technical talent. But who reaches these developers? Developers distrust traditional marketing. Who builds the samples, docs, tutorials, and SDKs they rely on? DevRel has become more critical than ever, especially as developers increasingly become decision-makers. In this talk, we’ll explore what DevRel is, how it drives impact, and how you can build an effective DevRel program.
Talk Title: DPDPA(Digital Personal Data Protection Act) Unleashed – Why It Matters for Women in Data
India’s Digital Personal Data Protection Act (DPDPA) is reshaping how organisations collect, store and use personal data, with a phased, 18‑month rollout. This presentation explores what’s in policy and law, then dives into what it unlocks for careers in data, security and consulting—especially for women. As data architect ,designing database architectures, will try connect legal constructs (Data Principals, Fiduciaries, Consent Managers, the Board) to real-world data and database practices, and show how DPDPA can be a powerful career accelerator, not just a compliance requirement.
Talk Title: Where Technology Meets Customer Needs: Lessons from a Newbie Solutions Engineer
When I stepped into the world of open-source databases as a Solutions Engineer, I expected to feel overwhelmed, but I found a role that made surprising sense. In this talk, I’ll share my journey navigating PostgreSQL with the help of modern cloud platforms like Aiven and DigitalOcean, tuning tools like DBtune, and migration partners like Hexacluster. This isn’t a deep-dive into internals, it’s a practical, beginner-friendly session to reducing the friction of managing PostgreSQL in real-world environments. Along the way, I’ll highlight the often-overlooked role of a Solutions Engineer: the human bridge between customer needs and engineering solutions. If you’re a student, a DBA, a DevOps engineer or just Postgres-curious, you’ll walk away with not only tools to explore, but also a career path to consider.

Talk Title: Architecting Ethical and Responsible AI with PostgreSQL 18
Have you ever developed an Agentic AI application using an agentic framework such as langGraph and pgai extension and noticed you don’t get good results during testing or the results are biased towards a demographic. You don’t know what to do. Organizations developing Agentic AI applications using an agentic framework such as LangGraph and pgai extension often encounter issues during implementation and testing, including suboptimal performance or bias in results such as demographic bias. Identifying the root causes of these issues can be difficult without proper tools and methodologies. This session addresses these challenges by introducing Responsible AI interpretability and explainability techniques. Participants will learn how to understand and trace the model’s decision-making process, enabling them to identify why specific results are generated. These capabilities are essential for meeting compliance requirements in regulated sectors, including banking and insurance. Attendees will gain practical knowledge on building Agentic AI applications that incorporate Responsible AI principles, ensuring transparent, accountable, and fair outcomes.
Rumi ![]()
Talk Title: New features of PostgreSQL 18
PostgreSQL 18 continues the PostgreSQL project’s long-standing focus on performance, scalability, reliability, and developer productivity, building incrementally on the improvements delivered in PostgreSQL 15–17.
Rather than introducing disruptive changes, PostgreSQL 18 is expected to emphasize refinement and maturity across core subsystems such as query execution, indexing, concurrency, replication, and observability, making PostgreSQL even more suitable for enterprise-scale and cloud-native workloads.
Talk Title: Platform Engineering Unpacked: Architecture, Evolution, and Hard-Won Lessons
The way engineering teams build and deliver software has changed dramatically. We’ve moved from manual server setups to automated pipelines, from ticket-based operations to self-service workflows, and from siloed teams to platform-driven organisations. This shift gave rise to Platform Engineering, a discipline focused on creating the internal systems, golden paths, and tooling that empower developers to move faster with less friction.
In this session, I’ll walk through the evolution that brought us here and why Platform Engineering has become a strategic priority across industries. I’ll share the architecture patterns that define successful platforms, how self-service emerges as a core capability, and the practical dos and don’ts learned from building real-world internal platforms.
Attendees will gain a clear understanding of:
Why DevOps wasn’t enough, and what Platform Engineering solves
The natural evolution from scripts → automation → abstractions → platforms
What makes a good platform (and what absolutely doesn’t)
How to design developer-centered systems and golden paths
My firsthand lessons from enabling engineering teams at scale
This talk gives a foundational, experience-driven view of what Platform Engineering really means today and how teams can start their journey the right way.
Our idea explores the implementation of AI-driven query optimization in PostgreSQL, addressing the limitations of traditional optimization methods in handling modern database complexities. We present an innovative approach using reinforcement learning for automated index selection and query plan optimization. Our system leverages PostgreSQL’s pg_stat_statements for collecting query metrics and employs HypoPG for index simulation, while a neural network model learns optimal indexing strategies from historical query patterns. Through comprehensive testing on various workload scenarios, we will validate the model’s ability to adapt to dynamic query patterns and complex analytical workloads. The research also examines the scalability challenges and practical considerations of implementing AI optimization in production environments.
Our findings establish a foundation for future developments in self-tuning databases while offering immediate practical benefits for PostgreSQL deployments. This work contributes to the broader evolution of database management systems, highlighting the potential of AI in creating more efficient and adaptive query optimization solutions.
This talk provides an introductory overview of Artificial Intelligence (AI) and Machine Learning (ML), exploring key concepts and their application in building intelligent systems. It will highlight the essential AI/ML techniques, such as supervised and unsupervised learning, and discuss practical use cases in modern industries. The session also focuses on how PostgreSQL, with its powerful extensions like PostgresML, TimescaleDB, and PostGIS, supports the development of AI-powered applications. By leveraging PostgreSQL’s ability to handle complex datasets and integrate machine learning models, participants will learn how to build scalable, intelligent solutions directly within the database environment.
Success is a multiplier of Action, External Factors and Destiny.
Out of these three, the only controllable aspect is our action. Again, action is the result of our EQ, IQ, SQ, and WQ (Willingness Quotient) together.
We all want to be successful and keep trying to motivate ourselves with external factors. We read inspirational books, listen to great personalities, and whenever possible upgrade ourselves with more knowledge and the list goes on.
Indeed these are excellent motivators, but in this process, we forget the most important source of energy, YOU!
We read other stories to feel inspired, thinking “I am not enough!”
But, the day we start accepting ourselves, introspect, understand, and align our life purpose with our routine, we find the internal POWER. This is a continuous source of motivation and energy which we need at down moments. When we feel, lonely, stuck and seek help, our inner voice is the greatest companion.
But, how many times do we consciously think about our “Subconscious”?
“Journey to Self” is our structured coaching program where we take back focus from the outside and delve deep inside to find our inner strength. Focusing on self-acceptance and personal growth
I believe everyone has POWER within them!
Let’s be the POWERHOUSE!
Human, AI, and Personalized User Experience for DB Observability: A Composable Approach
Database users across various technical levels are frequently frustrated by the time-consuming and inefficient process of identifying the root causes of issues. This process often involves navigating multiple systems or dashboards, leading to delays in finding solutions and potential downstream impacts on operations.
The challenge is compounded by the varying levels of expertise among users. It is essential to strike the right balance between specialized and generalized experiences. Oversimplification can result in the loss of critical information, while an overwhelming amount of data can alienate certain users.
Developers and designers are constantly navigating these trade-offs to deliver optimal user experiences. The integration of AI introduces an additional layer of complexity. While AI can provide personalized experiences within databases, it is crucial to maintain user trust and transparency in the process.
The concept of personalized composable observability offers a potential solution. By combining the strengths of human expertise, information balance, and AI-driven personalization, we can create intuitive and user-friendly experiences. This approach allows users to tailor their observability tools and workflows to their specific needs and preferences.