Data Engineer Resume Template (2026)

A data engineering resume with pipeline architecture, SQL expertise, and cloud data platform experience.

// Summary

Data Engineer with 5 years of experience building and maintaining large-scale data pipelines on AWS and GCP. Expertise in dbt, Apache Spark, Airflow, and Snowflake. Focused on data quality, pipeline observability, and enabling analytics teams with clean, trustworthy data.

// Experience
Flipkart · Senior Data Engineer · Bangalore, India
Feb 2022 – Present
  • Rebuilt the product catalogue data pipeline using Apache Spark + Airflow, reducing daily processing time from 6 hours to 45 minutes
  • Implemented dbt data modelling layer covering 800+ models; introduced testing that catches 95% of data quality issues before they reach analysts
  • Designed a real-time inventory event streaming pipeline on Kafka processing 120M events/day with sub-5s end-to-end latency
  • Reduced Snowflake compute costs by 62% through query optimisation, clustering keys, and warehouse auto-suspend policies
Razorpay · Data Engineer · Bangalore, India
Aug 2019 – Jan 2022
  • Built the payments analytics pipeline ingesting 40M daily transactions into Redshift for BI and fraud detection
  • Created a data catalogue using Apache Atlas, enabling self-service discovery for 80+ data consumers
  • Migrated ETL workflows from cron scripts to Airflow DAGs, improving reliability from 87% to 99.1%
// Skills
Languages & Query
PythonSQLSpark (PySpark)Scala
Platforms
SnowflakeRedshiftBigQueryDatabricksdbt
Orchestration & Streaming
AirflowKafkaFlinkAWS GlueStep Functions
// Education
IIT Bombay · B.Tech., Computer Science
Aug 2015 – May 2019
// Certifications
dbt Analytics Engineering Certification · dbt Labs
2023

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Skills on this resume

SQLPythonDatabasesAWS

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