Varun K Das

About Varun K Das

I am a seasoned and experienced IT professional working as- Data Engineer/Data Analyst/Data Modeler- in the industry since 2007 - having extensive experience in- cloud data engineering on AWS & Azure| GCP- AWS Glue, AWS Lambda, Athena, EMR, S3, Redshift, Dynamo DB- Azure DF, Databricks, Synapse- GCP, Big Query, Data Prep, Data Studio, Google Sheets- Unix, Linux, Perl, Python, PySpark, R, MATLAB- SQL: DB2/Oracle/Postgres/MY SQL- No SQL: MongoDB/ Hive/ Cassandra/ Neo4j- ETL: Ab Initio/Informatica/Pentaho/Oracle Warehouse Builder/SSIS, SSAS- Tableau, Power BI- Hadoop: HDFS, HBase, Flume, Hive, Spark, Pig- HTML5,CSS3, JavaScript- ML & AI- API programming have also worked on legacy applications like:Mainframe, COBOL, CICS, REXXAssembly language and Google Cloud ArchitectureCambridge BEC Upper IntermediaryGoethe Zentrum German B2 proficiencyITIL V3 Proficiency | C2), German(B2), Spanish(A2),

Experience

1. Senior Data Analyst

   Datazen Consulting & Analytics Llp

   Jan 2025 — Present

   As a Senior Data Analyst for an automotive client based in the US. I specialize in leveraging AWS to unlock valuable insights for the automotive industry. From optimizing supply chain analytics to enhancing connected vehicle data systems, I bridge the gap between raw data and transformative business Competencies & Technologies:• Cloud Expertise: AWS Lambda, Redshift, S3, Athena, EMR, Glue, Kinesis, CloudWatch, Quick Sights• Analytics Tools: Databricks, Power BI, Python, PySpark, SQL.• Data Skills: Building scalable ETL pipelines, real-time data processing, and predictive analytics tailored to automotive needs.• Industry Applications: Telematics data analysis, customer behaviour insights, and supply chain Gather, clean, and analyse large datasets, including telematics, supply chain, production, and customer behaviour data.• Develop, maintain, and optimize ETL pipelines using AWS Glue, Databricks, Python/PySpark, and SQL.• Perform data validation and ensure data integrity across multiple systems.• Leverage tools like AWS Athena, Redshift, and S3 to query and manage cloud data.• Design and deliver insightful dashboards and visualizations using AWS QuickSight, Tableau, or Power BI.• Provide actionable insights to stakeholders, helping drive decisions in areas like vehicle performance, market trends, and customer satisfaction.• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.• Set up real-time data ingestion and analytics pipelines for connected vehicle systems using AWS Kinesis and Lambda.• Process streaming data to identify patterns, anomalies, and opportunities for performance improvement.

Education

• Mahatma Gandhi University

  Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering

  2003 — 2007

• Chinmaya Vidyalaya

  AISSCE, Computer Science

  1993 — 2002