Krisi Jain
@krisijain
Data Engineer @PwC India
What I'm looking for
I like making things work—building pipelines from scratch and digging into what went wrong when records don’t add up. I’ve spent almost four years at PwC India shipping production data systems, with a strong focus on the data that sits downstream of everything I build.
Across real-time and batch workloads, I’ve designed ingestion and validation layers, performed root-cause analysis on data inconsistencies, and backfilled long histories to keep consumers trusted. I work across Python, Spark, AWS, and Airflow, and I’m energized by the problem solving in between the tools, whether that’s optimizing DynamoDB indexing, accelerating transformations, or improving dataset readiness for ML training and inference.
Experience
Work history, roles, and key accomplishments
Associate, Data Engineer
PwC India
Apr 2025 - Apr 2026 (1 year)
Designed and maintained real-time and batch pipelines processing 1M+ customer consent records to ensure accurate opt-in/opt-out tracking. Performed root-cause analysis on ~250K inconsistent records, fixed ingestion logic, backfilled 12+ months of history, and optimized DynamoDB indexing to reduce query latency by ~50%.
Senior Analyst, Data Engineer
PwC India
Apr 2024 - Mar 2025 (11 months)
Built Python and SQL pipelines to analyze cloud compute usage patterns and surface cost optimization insights. Owned data quality checks for production-ready datasets and implemented Spark/Python parallel processing, contributing to an ML-based recommendation system and reducing transformation time by ~30%.
Analyst, Data Engineer
PwC India
Aug 2022 - Mar 2024 (1 year 7 months)
Built core pipeline modules for a low-code ETL platform enabling drag-and-drop workflow creation for enterprise users. Developed and maintained Java REST APIs to integrate backend services with the data platform and ensure reliable data flow across pipeline components.
Education
Degrees, certifications, and relevant coursework
St. Xavier's College, Mumbai
Bachelor of Science, Mathematics
2019 - 2022
Grade: 8.27/10 (CGPA)
Completed a B.Sc. in Mathematics, achieving a CGPA of 8.27/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
krisijain.github.ioSalary expectations
Social media
Job categories
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