Megha Joshi

I’m a Senior Data Engineer with 12+ years of end-to-end experience in data warehousing, ETL development, and large-scale data migration across banking and enterprise domains. I focus on production-grade pipelines that stay accurate, compliant, and dependable under pressure.

At Fiserv, I’ve led corporate banking data migration work, building Databricks-based pipelines that extract from SQL Server, Oracle, flat files, and XML feeds. I implemented multi-layer ETL architectures (Staging → Intermediate → Target), designed analytics-ready models, and optimized Spark transformations using partitioning for high-volume datasets.

My approach is grounded in validation and audit readiness: I built stored procedure logic for migration business rules, implemented error handling and logging for rejected records, and delivered SQL-based reconciliation frameworks to compare counts, balances, and transaction sums. I’ve achieved 99.98% data accuracy and delivered zero-downtime migrations during critical production cutover weekends.

I’m now upskilling in Python, Generative AI fundamentals, Azure cloud data platforms, and Apache Spark—actively aspiring to grow into a Data Architect role. I take pride in collaborating across enterprise architects, governance teams, and business stakeholders, and I’ve been recognized with multiple Living Proof awards for quality and impact.