sagar kadam

I am a Senior Data Engineer with 12+ years of experience building scalable, cloud-native data platforms across BFSI (payments) and CPG/retail analytics. I focus on designing end-to-end ETL/ELT solutions, migrating on-prem ecosystems to Google Cloud, and implementing both batch and streaming pipelines.

My technical strengths include Google Cloud Platform (Dataflow/Apache Beam, BigQuery, Dataproc, Pub/Sub, Cloud Composer), Spark, and data modeling, complemented by strong Python and Java development skills. I have implemented containerized deployments with Docker and GKE and operationalized ML models within production pipelines.

I have driven performance and cost optimizations, reduced pipeline latency, and enforced enterprise-grade data engineering standards while mentoring engineers and leading architectural reviews. I hold Google Professional Data Engineer and Google Professional Cloud Architect certifications, and have led high-criticality engagements requiring rigorous data governance and reliability.

I seek to deliver robust, secure, and scalable data platforms that improve data freshness and operational efficiency, while collaborating cross-functionally to align solutions with business strategy and regulatory requirements.