Headline

Ex-Data Engineer @ ZS | Data Engineering - Snowflake, AWS, SQL, Airflow | Ex-SDE Intern @ Amazon

About

Data Engineer specializing in building trusted, scalable data pipelines across Snowflake, AWS, and GCP. I turn messy, high-volume enterprise data into governed, analytics-ready assets that business teams can actually rely on. In my current role at ZS Associates, I own end-to-end data delivery for enterprise pharmaceutical commercial analytics - designing source-to-target mappings, KPI logic, and data quality frameworks (duplicate detection, null validation, business-rule checks) that cut manual QA effort by 40% and strengthened trust in Power BI dashboards used across 5+ therapeutic areas. I write complex SQL and Python for extraction, transformation, and ad-hoc analysis. Earlier, at Amazon, I built a GenAI-driven IntelliJ plugin (LangChain, OpenAI API) that automated test-code cleanup, cutting manual effort by up to 1.5 days per cycle. Core toolkit: SQL · Python · Snowflake · AWS (S3, Lambda, Glue, MWAA) · Google BigQuery · Apache Airflow · ETL/ELT · Data Warehousing · Data Governance & Quality I like problems at the intersection of engineering rigor and business impact - where a pipeline design decision or a data quality rule actually changes what a stakeholder trusts and acts on. Open to Data Engineering / Data Platform roles - always happy to connect with fellow data folks. Feel free to reach out!

Location

Punjab

AI stack

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Work experience

Business Technology Solutions Associate at ZS, Jul 2025 - Sep 2026 · 1 yr 3 mos, Gurugram, Haryana, India, - Partnered with senior US-based Life Sciences stakeholders to define KPI logic and source-to-target mappings, establishing data governance standards adopted across multiple therapeutic areas. - Built end-to-end data integration and quality checks (duplicate detection, null validation, business-rule verification) in Snowflake, Python, and AWS — cutting manual QA effort by 40% and increasing stakeholder trust in downstream Power BI dashboards. - Presented technical data governance roadmaps to non-technical business stakeholders, directly influencing cross-functional adoption of standardized data definitions.

Software Dev Engineer Intern at Amazon, Jan 2025 - Jun 2025 · 6 mos, Bengaluru, Karnataka, India, - Built a GenAI-powered IntelliJ IDE plugin to automate manual test code cleanup, saving 1.5 engineering-days per cycle. - Designed a modular, multi-language plugin architecture in Java with automated validation checks, cutting manual code review overhead by 30%.

Education

Associate of Computer Engineering, Thapar Institute of Engineering & Technology

Class XII CBSE Board, St. Kabir Public School