Sarthak Bhatt — Data Engineer

I am a Databricks Certified Data Engineer with 3+ years of hands-on experience in designing, developing, and implementing end-to-end data engineering solutions on the Azure cloud platform. I specialize in building scalable and reliable data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Databricks, and PySpark, aligned with modern data architecture best practices. I have strong experience in implementing Medallion Architecture (Bronze, Silver, Gold layers) using Delta Lake, ensuring data quality, governance, and performance optimization. I have worked extensively on data ingestion, transformation, and aggregation, creating analytics-ready data marts and supporting Data Vault–based modeling for enterprise-grade data warehouses. My work includes migrating large-scale data from on-premise systems to Azure Data Lake Storage (ADLS), designing ELT/ETL workflows, handling incremental loads, CDC patterns, and optimizing Spark jobs for performance and cost efficiency. I actively use PySpark for complex transformations, joins, window functions, and large-scale distributed processing. In addition, I have hands-on experience with Snowflake and dbt, focusing on data modeling, transformations, testing, and building reliable transformation layers for business analytics. I collaborate closely with analytics and business teams to deliver Power BI dashboards backed by curated gold-layer datasets and data marts. I am passionate about building modern cloud data platforms, applying best practices in data engineering, and delivering high-quality, business-driven data solutions that scale.

Stackforce AI infers this person is a Data Engineering specialist in cloud-based data solutions.

Location: Noida, Uttar Pradesh, India

Experience: 3 yrs 10 mos