Sattari Sateesh Kumar Email & Phone Number

Hi there! I’m a Data Engineer with over 2.6 years of experience in building data pipelines and helping businesses make better decisions through data. I work with tools Azure Data Factory, Databricks, and Snowflake to create efficient ETL workflows that ensure data is clean, organized, and ready for analysis.I’m certified as an Azure Data Engineer Associate (DP-203) and a Power BI Data Analyst Associate. I’ve worked on exciting projects like migrating data to the cloud, building real-time analytics systems, and improving data processing speed for better insights.I enjoy solving tough data problems, collaborating with teams, and using technologies Azure, AWS, Python, SQL, PySpark and Power BI to make the most out of data. Achievements :-• Ingested data from various sources using Azure Data Factory and stored it in Azure Data Lake Storage Gen2. • Developed a medallion architecture leveraging Databricks and Azure Data Lake Gen2, ensuring optimized data pipelines for raw (bronze), processed (silver), and curated (gold) datasets, enabling real-time analytics. • Optimized an Azure Databrick job that was taking 1 hour to run, reducing the runtime to just 30 minutes by repartitioning the data and optimizing the Spark configuration. • Increased data storage efficiency by 30% through effective Azure Data Lake Storage Gen2 partitioning and compression. • Monitored and resolved pipeline issues, achieving a 99.9% uptime and improving the team’s SLA compliance by 15%. • Collaborated with cross-functional teams, aligning data solutions with business objectives and enhancing efficiency for 5+ stakeholders.Technical Skills -Programming Languages: Python, SQL, PySparkCloud Platforms: Azure (Data Factory, Databricks, Synapse, Blob Storage, Data Lake, Azure DevOps), AWS (S3, Lambda, EC2, Glue, EMR)Data Engineering: Data Modeling, ETL/ELT Processes, Data Warehousing, Data Pipeline Optimization, Data CleaningData Visualization: Power BI, Qlik SenseLet’s connect if you’d like to chat about data engineering, cloud tech, or anything data-related.