shouvik sharma

Hi! I’m Shouvik — a data engineer in fintech with 7+ years of experience building production-grade data platforms and pipelines at scale. I work heavily with Snowflake, AWS (Glue/S3), Spark/PySpark, orchestration frameworks (Airflow/YAML-based), and data modeling for enterprise data warehouses (bronze/silver/gold layers). My day-to-day is a mix of architecture, performance tuning, reliability/observability, and making datasets “trustworthy enough” for analytics, ML, fraud/risk decisioning, and reporting.
What I can help you with
Breaking into Data Engineering (roadmaps, portfolio projects, interview prep)
SQL depth: advanced querying, Snowflake optimization, debugging complex CTEs
Building pipelines end-to-end: ingestion → transformations → data quality → deployment
Data modeling: dimensional modeling, designing gold datasets, defining grains & contracts
Cloud DE: Glue + Spark job design, cost/performance tradeoffs, partitioning strategies
Best practices: CI/CD for data, code reviews, testing, observability, incident-driven improvements
Career growth: leveling up to senior, owning projects, stakeholder communication, technical storytelling
How I mentorI’m practical and structured. We’ll start by clarifying your goal (new role, promotion, project, interview loop), assess gaps, and turn them into a weekly plan with deliverables. I’ll review resumes/LinkedIn, critique SQL and pipeline designs, and help you build “real-world” thinking—because in production, perfect data doesn’t exist, only monitored data.