Introduction:
My name is Subathra, and I’m currently working with Cognizant. I’m based out of Coimbatore. I started out as a SQL Server support engineer with Microsoft and currently working as a database architect with Cognizant. My focus is on designing scalable solutions and leading cloud migration projects and helping organizations modernize their database infrastructure. Within the database community, I focus on both technical contributions and mentorship.
Journey in PostgreSQL
My journey with databases began early in my career when I was first introduced to relational database systems. I started by working on SQL Server, focusing on administration, performance tuning, and query optimization. Over time, I developed a strong interest in database design and architecture, which led me to explore other databases like PostgreSQL . As I gained experience, I moved into roles that required designing scalable solutions, ensuring data integrity, and supporting enterprise applications. This naturally evolved into specialization in cloud database migration, where I now help organizations modernize their SQL Server and PostgreSQL workloads. Today, as a Database Architect, I focus on building robust architectures, guiding migration strategies, and contributing to best practices within the database community.
Can you share a pivotal moment or project in your PostgreSQL career that has been particularly meaningful to you?
One of the most pivotal projects in my database career was leading a large-scale cloud migration initiative for a client where we transitioned mission-critical SQL Server and PostgreSQL workloads to a modern cloud platform. Managing the migration of complex schemas, large datasets, and high-availability configurations under tight timelines was a challenge, but it ultimately gave me greater confidence in building resilient architectures and scaling solutions effectively.
Contributions and Achievements:
I am proud of designing and implementing scalable architectures for SQL Server and PostgreSQL that significantly improved system performance and reliability. Additionally, I’ve contributed to practice initiatives by developing best practices for Backup/Recovery, HA and disaster recovery and sharing my learning with the team and organization.
(II) Have you faced any challenges in your work with PostgreSQL, and how did you overcome them?
There are many challenges that I have faced while working with databases, however one challenge that I recently faced was ensuring seamless cloud migrations of mission-critical workloads from SQL Server to PostgreSQL. I addressed this by carefully planning prerequisites, validating schema compatibility, and using phased migration strategies to minimize downtime. These experiences showed me how essential it is to stay proactive with monitoring, work closely with cross-functional team and best-practice adoption are for building reliable and scalable systems.
Community Involvement:
I engage with the database community by contributing to technical discussions, sharing best practices on SQL Server and PostgreSQL, and supporting cloud migration initiatives. I also attend conferences to stay connected — most recently PGConf Bangalore in 2025, where I had the opportunity to learn from experts.
(II) Can you share your experience with mentoring or supporting other women in the PostgreSQL ecosystem?
Mentoring and supporting women in tech has been one of the most fulfilling parts of my professional journey. Through Cognizant’s Nurture Her program, I connect with college students to provide mentorship, helping them build confidence, develop technical skills, and prepare for future opportunities in the industry. In addition, I contribute to Cognizant’s GenC training and mentoring initiatives, where I support freshers in building strong foundations in database concepts, architecture, and best practices.
Insights and Advice:
My advice to women starting their careers in technology, especially in database management and PostgreSQL, is to build a strong foundation in core concepts like data modeling, indexing, and query optimization. They have to explore open-source communities like PWI for PostgreSQL that has a vibrant ecosystem where you can learn, contribute, and grow. Seek out mentors and peer networks, because guidance and support can make a big difference in navigating challenges and building confidence.
(II) Are there any resources (books, courses, forums) you’d recommend to someone looking to deepen their PostgreSQL knowledge?
Understanding database architecture is fundamental to learning how databases work efficiently and reliably. The initial steps involve exploring the foundational concepts and internal components that make up a typical database system. When I started with SQL Server, Guru’s guide to internals was our mantra.
The Guru’s Guide to SQL Server Architecture and Internals – Ken Henderson
SQL Authority with Pinal Dave – has been a lifesaver and a “go-to” reference whenever teams hit a roadblock
https://www.postgresql.org/community/ – The community knowledgebase and support is extremely good for PostgreSQL
Udemy – PostgreSQL for Everybody: Beginner-friendly, with hands-on labs – Additionally I have found this Udemy course helpful
Looking Forward:
AI is the hot topic, and I am excited about the integration of AI and machine learning directly within databases.
(II) Do you have any upcoming projects or goals within the PostgreSQL community that you can share?
Lately we are seeing lot of project demands for PostgreSQL and I’m looking forward to learning and contributing more actively to PostgreSQL technology. I am also planning to form a group for women database professionals within Cognizant Coimbatore with a strong focus on encouraging women and freshers to explore PostgreSQL.
Personal Reflection:
Being part of the PostgreSQL community means belonging to a group that values collaboration, openness, and continuous learning. Those weekend PostgreSQL training batches really show the spirit of the community. The fact that professionals dedicate their time, without charging, reflects a genuine commitment to knowledge-sharing and building a stronger ecosystem. It’s not just about teaching syntax or commands; it’s about creating opportunities for people to grow, gain confidence, and feel supported in their careers. Kudos to Aarti, Kalyani, Brahmini and the other trainers who has made this happen.
(II) How do you balance your professional and personal life, especially in a field that is constantly evolving?
Balancing professional and personal life takes conscious effort. I make it a priority to safeguard my personal time by cutting boundaries, prioritizing family, and treating downtime as essential for long-term productivity. I’ve found that mentoring and community engagement, such as with PGConf, Nurture Her, Women Empowered group within my organization also helps me integrate passion with profession, making the balance more natural.
Message to the Community:
PostgreSQL community is all about collaboration, and growth. I would really encourage women to be part of this wonderful group as it’s a space where you can learn, contribute, and build confidence.
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.