Sattari Sateesh Kumar

Data Engineer

Bengaluru, Karnataka, India3 yrs 11 mos experience

Key Highlights

  • Over 3 years of experience in data engineering.
  • Expert in building efficient ETL workflows.
  • Certified Azure Data Engineer Associate and Power BI Data Analyst Associate.
Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and analytics.

Contact

Skills

Core Skills

Data EngineeringCloud Platforms

Other Skills

Azure Data FactoryData ModelingAzure Data Lake Storage Gen2DatabricksAzure Data Lake Gen2Data Pipeline MonitoringMicrosoft Power BIData ModelsData IntegrationMicrosoft SQL ServerData GovernanceCore Data ConceptsRelational Data on AzureAzure architecture and servicesDesign and implement data storage

About

Hi there! Iโ€™m a Data Engineer with over 3 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. Iโ€™m certified as an Azure Data Engineer Associate (DP-203) and a Power BI Data Analyst Associate. Iโ€™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. ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—ฐ๐—ฎ๐—น ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ โ— ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ๐˜€ โ†’ Python, SQL, PySpark โ— ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—ฃ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ๐˜€ โ†’ Azure (Data Factory, Databricks, Synapse, Blob Storage, Data Lake, Azure DevOps), AWS (S3, Lambda, EC2, Glue, EMR) โ— ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด โ†’ Data Modeling, ETL/ELT Processes, Data Warehousing, Data Pipeline Optimization, Data Cleaning, Data Governance, Data Integration โ— ๐——๐—ฎ๐˜๐—ฎ ๐—ฉ๐—ถ๐˜€๐˜‚๐—ฎ๐—น๐—ถ๐˜‡๐—ฎ๐˜๐—ถ๐—ผ๐—ป โ†’ Power BI, Qlik Sense Letโ€™s connect if youโ€™d like to chat about data engineering, cloud tech, or anything data-related.

Experience

3 yrs 11 mos
Total Experience
2 yrs 8 mos
Average Tenure
1 yr 3 mos
Current Experience

Pwc india

Associate

Feb 2025 โ€“ Present ยท 1 yr 3 mos ยท Bengaluru, Karnataka, India ยท Hybrid

Cognizant

2 roles

Junior Software Engineer (Data Engineer)

Jun 2023 โ€“ Feb 2025 ยท 1 yr 8 mos ยท Banglore

  • โ— Ingested data from various sources using Azure Data Factory and stored it in Azure Data Lake Storage Gen2.
  • โ— 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.
  • โ— 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.
  • โ— Increased data storage efficiency by 30% through effective Azure Data Lake Storage Gen2 partitioning and compression.
  • โ— Monitored and resolved pipeline issues, achieving a 99.9% uptime and improving the teamโ€™s SLA compliance by 15%.
  • โ— Collaborated with cross-functional teams, aligning data solutions with business objectives and enhancing efficiency for 5+ stakeholders.
Azure Data FactoryData ModelingData EngineeringCloud Platforms

Junior Software Engineer Trainee

Jun 2022 โ€“ Jun 2023 ยท 1 yr ยท Banglore

Microsoft Power BIData Models

Education

RGM Group of Institutions, Nandyal

Bachelor of Technology โ€” Mechanical Engineering

Jan 2018 โ€“ Jan 2022

Sri Venkateswara Junior College

Intermediate โ€” MPC

Jun 2016 โ€“ Mar 2018

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