Data Engineer | 8+ Years Experience | AWS SQL Python

AWS Data Engineer

with 8+ years of IT experience, including 6 years of hands-on expertise in designing, developing, and optimizing cloud-based data engineering solutions on AWS.

Skills

• Strong proficiency in:

  • AWS Glue
  • PySpark
  • Python
  • SQL
  • Snowflake

• Extensive experience in:

  • Building automated ETL/ELT pipelines
  • Data lakes
  • Large-scale batch processing frameworks

Proven Track Record

• Migrating and validating high-volume banking datasets across multiple systems with a strong focus on:

  • Data quality
  • Governance
  • Performance tuning

• Adept at delivering secure, scalable, and cost-efficient data pipelines using AWS services such as:

  • S3
  • Lambda
  • Glue Workflows
  • Step Functions
  • CloudWatch

• Skilled in collaborating with cross-functional teams to translate business requirements into reliable, production-ready data solutions.

Collaboration

Collaborative team player with strong communication skills, capable of partnering with business, analytics, and data science teams to deliver scalable data models, analytical ready datasets, and reliable ingestion frameworks.

• Strong focus on best practices, CI/CD, version control, documentation, and operational excellence.

• Passionate about building modern data platforms that enhance business insights, performance, and decision-making.