Headline

Data Engineer @ Incedo | Snowflake, dbt, Airflow, AWS | 140+ tables modeled, 300GB+/day in production

About

I turn messy, high-volume data into pipelines people can actually trust. Right now, that means owning end-to-end data engineering at Incedo - moving 300GB+ of financial data daily from AWS S3 and Fivetran into Snowflake, and making sure it lands clean, on time, and audit-ready for 5+ downstream analytics teams. A few numbers that tell the story better than a job title can: → Built a config-driven validation framework (Python + YAML) that auto-generates 2,100+ SQL test cases - cutting manual QA effort by 90% and giving the team its time back for actual pipeline work. → Designed dimensional models across 140+ Snowflake tables, trimming pipeline latency by 15%. → Run 10+ production Airflow DAGs on GitHub Actions CI/CD - no more manual deployments. → Tuned Snowflake clustering/partitioning for a 20% query performance gain and lower compute spend. I got here by being the person who'd rather fix the root cause than patch the symptom. Before Incedo, I cut my teeth on full-stack builds (React, Node, .NET) at Nagarro and Podtech - which is honestly why I obsess over pipeline reliability now. I've seen what breaks when data quality is an afterthought. Certified: AWS Cloud Practitioner, Snowflake SnowPro Core. Stack: Python, SQL, PySpark, dbt, Airflow, Kafka, Snowflake, AWS (S3, Glue, IAM, KMS). Outside of pipelines, I've solved 400+ problems across LeetCode/GFG/HackerRank — turns out the same instinct that debugs a DAG also enjoys a good algorithm at 11pm. Open to Data Engineer / Analytics Engineer roles where "300GB/day" and "90% less manual QA" sound like your kind of problem. DM me - always happy to talk data.

Location

Greater Delhi Area

AI stack

cursor

Work experience

Data Engineer at Incedo Inc., Jan 2024 - Present · 2 yrs 9 mos, Gurugram, Haryana, India, Own end-to-end data pipelines processing 300GB+ of financial data daily, delivering SLA-compliant service to 5+ downstream analytics teams - plus a config-driven QA framework that gave the team 90% of its manual testing time back. - Own end-to-end data pipelines moving 300GB+ of financial data daily from AWS S3 and Fivetran into Snowflake, delivering SLA-compliant service to 5+ downstream analytics teams. - Architected a config-driven validation framework (Python + YAML) that auto-generates 2,100+ SQL test cases, cutting manual regression testing effort by 90%. - Designed dimensional models (Snowflake Schema) across 140+ tables, trimming pipeline latency by 15%. - Built and maintained 10+ production Airflow DAGs with GitHub Actions CI/CD, replacing manual deployments with automated, version-controlled releases. - Tuned Snowflake clustering/partitioning strategies, improving query performance 20% and lowering BI compute costs.

Full Stack Developer at PODTECH, Oct 2023 - Dec 2023 · 3 mos, Gurugram, Haryana, India, This role allowed me to gain hands-on experience in the end-to-end software development lifecycle while strengthening my expertise in backend and frontend development. - Built and modified 10+ APIs and UI components for a production .NET web application, working directly in an Agile team. - Validated releases with JUnit. - Automated builds/deployments with Maven, cutting manual release steps out of the workflow. - Contributed to the development and modification of complex APIs and UI components for a .NET web application.

Associate Engineer Trainee at Nagarro, Jun 2022 - Sep 2022 · 4 mos, Gurugram, Haryana, India, This project strengthened my expertise in full-stack development and real-time systems, and it was an excellent opportunity to apply modern web technologies to solve complex challenges in a collaborative environment. - Built a responsive React frontend with real-time chat/notification features, backed by a Node.js REST API. - Designed the MongoDB schema for user-generated content, optimizing for query performance at scale. - Shipped via Git-based CI/CD, contributing to full cloud deployment and uptime.

Education

Master of Computer Applications - MCA, Computer Science, Bharati Vidyapeeth Institute of Computer Applications & Management

B.Sc Computer Science, Dyal Singh College