Anvesh S

Data Engineer and Analytics professional with 9+ years of experience working across banking, healthcare, telecom, and enterprise data environments. My role spans building reliable data pipelines and analytics-ready datasets, while also supporting data analysis, BI reporting, and business insights for stakeholders. I have strong hands-on experience designing and operating cloud-based data platforms using Databricks, Spark, Snowflake, Azure Data Factory, Airflow, dbt, and SQL. My work includes ingesting, transforming, and modeling data to support batch, incremental, and near real-time use cases, ensuring data is accurate, scalable, and ready for downstream analytics and AI/ML initiatives. Alongside data engineering responsibilities, I actively support Data Analyst and BI teams by creating curated datasets, SQL views, and semantic layers used in Power BI and Tableau dashboards. I have worked closely with finance, risk, operations, product, and business teams to define KPIs, validate metrics, reconcile data, and deliver dashboards and reports that drive decision-making. I am comfortable owning the full data lifecycle — from ingestion and transformation to analytics consumption — and bridging the gap between engineering and business analytics. Known for strong collaboration, documentation, Agile delivery, and a focus on data quality, governance, and usability, I help teams move faster while trusting their data.