Hi, I'm Siddhant — Software & Data Engineer

VIT Vellore graduate & Software/Data Engineer at JPMorgan Chase with 2.5 years of experience. Skilled in Python, Spark, Polars, Iceberg, Postgres. Passionate about teamwork, agile development, and delivering scalable, robust, and efficient solutions.

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Core Skills

Siddhant's Technical & Engineering Strengths

Expertise across a modern data and software engineering stack, with a proven record of building scalable solutions and thriving in collaborative, agile teams.

Python: Advanced proficiency in Python for building efficient, maintainable, and scalable applications.
Spark: Distributed data processing expertise for high-performance analytics and ETL pipelines.
Polars: Efficient dataframes and fast analytics using modern, high-performance Python libraries.
Iceberg: Experience with Apache Iceberg for modern, reliable, and large-scale data lake management.
Postgres: Robust relational data modeling and performance tuning with PostgreSQL.
Software/Data Engineering: Designing, developing, and optimizing complex software and data systems for reliability and scale.
Teamwork: Strong collaborator, excelling in cross-functional teams and clear communication.
Agile Development: Experienced in iterative workflows, rapid prototyping, and continuous improvement.
Scalable Solutions: Architecting systems that grow with business needs, ensuring performance and reliability.
Quick Learner: Adapts rapidly to new technologies and domains, delivering results in fast-changing environments.

About Me

From VIT Vellore to JPMorgan Chase: My Journey in Software & Data Engineering

Hello! I’m Siddhant, a Computer Science graduate from VIT Vellore and a passionate software and data engineer at JPMorgan Chase for the past 2.5 years. My journey blends robust technical skills with a love for teamwork, continuous learning, and solving complex challenges in scalable, real-world systems.

Professional Snapshot

With a strong foundation in Computer Science from VIT Vellore, I’ve built and optimized software and data solutions at JPMorgan Chase, leveraging technologies like Python, Spark, Polars, Iceberg, and Postgres. My expertise lies in architecting scalable, reliable systems—always focusing on performance and maintainability.

My Approach

I believe the best engineering happens when collaboration and adaptability meet technical excellence. I thrive in agile teams, value open communication, and enjoy diving into new technologies to find elegant solutions. My problem-solving mindset is rooted in curiosity, resilience, and a drive to deliver impactful results.

Philosophy

Great software is built not just on quality code, but on strong architecture, thoughtful design, and well-informed decisions—shaped through healthy collaboration and a balanced consideration of all stakeholders.