Charishma D

About Charishma D

With over a decade of experience delivering innovative data solutions, I specialize in building scalable, secure, and high-performance data platforms that drive actionable insights. As an Azure Data Engineer and Data Warehouse Engineer, I architect, implement, and optimize modern cloud data ecosystems tailored to business needs. I bring strong expertise across Azure SQL Data Warehouse, ADF, Azure Synapse, Azure Databricks, Azure Stream Analytics, Event Hubs, Azure Data Lake Gen2, Azure Data Catalog, Azure Monitor, Azure Purview, Azure AD, Polybase, and Storage Explorer - ensuring seamless integration and enterprise-grade performance. I have designed and deployed data warehouses and lakehouse architectures focused on scalability, governance, performance tuning, and cost efficiency. My ETL/ELT experience spans ADF, Synapse, Databricks, Spark, Python, and SQL, enabling delivery of clean and trusted datasets for analytics, BI, and AI initiatives. My background includes leading major cloud migration initiatives, modernizing on-prem systems, SAP ECC/S4, Oracle, SQL Server, mainframes, and API-based sources into Azure. I build scalable ingestion frameworks, automated validations, metadata pipelines, and real-time synchronization with minimal downtime. I also specialize in real-time and event-driven processing using Stream Analytics, Event Hubs, Kafka, Event Grid, Service Bus, Logic Apps, and Databricks Structured Streaming - supporting sensor analytics, operational dashboards, fraud detection, and alerts. I build Power BI monitoring dashboards to track ingestion health, SLAs, data freshness, and long-term trends. My work includes implementing data quality rules, anomaly detection, schema checks, audit logging, and strong security with RBAC, encryption, private networking, and Purview lineage. Proficient with Git, GitHub, Visual Studio, and Azure DevOps, I design CI/CD pipelines for automated deployment of ADF pipelines, Synapse assets, Databricks notebooks, SQL code, and infrastructure components - ensuring consistency and version-controlled delivery across environments. A strong collaborator, I work closely with architects, analysts, and business teams to deliver reliable and impactful data solutions. I continuously explore modern technologies like Spark, Delta Lake, Lakehouse patterns, Python, and Pyspark to build next-generation cloud data platforms. I’m passionate about helping organizations unlock the full value of their data. Let’s connect and explore how I can support your data-driven goals.

Experience

1. Software Dev Engineer Intern

   Amazon

   Jun 2023 — Present · Washington, DC, US

Education

• Vignan's University

  Bachelor of Technology - BTech, Computer Science

  2017

• University of Cincinnati

  Master of Engineering - MEng, Computer Science