Sekhar User

I’m a Senior Cloud Data Engineer with 5+ years designing and optimizing large-scale data platforms across AWS and Azure. I build lakehouse architectures, ETL/ELT pipelines, and dimensional models that support analytics teams with 99%+ SLA reliability.

At Analog Devices, I designed and optimized 40+ ETL/ELT pipelines (processing ~3TB/day), cutting runtime by 30% while driving 99.5% SLA targets. I productionized a Databricks Lakehouse (Bronze/Silver/Gold) with Delta tables across 15+ ingestion sources, standardizing transformations and reducing duplication.

I focus on performance, quality, and governance together—tuning Spark workloads and right-sizing EMR clusters to lower AWS compute costs by 15%. I also implemented automated data quality frameworks (Great Expectations) that reduced production data defects by 40%+ and added fine-grained RBAC/IAM plus automated masking and encryption for compliance.

Earlier, at Mphasis, I built 30+ Azure Data Factory pipelines into Synapse/ADLS, improving ETL processing time by 25% and speeding onboarding by 30% through reusable ADF frameworks. I’ve also delivered reporting automation and validation-driven ETL as a Data Analyst/Junior Data Engineer, and I started as an intern building and testing ETL workflows under senior supervision.