Arjun Mehta

Snowflake Cloud Data Engineer

Data EngineeringSenior Data EngineerSnowflakeAvailable for hire
Experience
6+ yrs
Skills
24
Projects
1
Certifications
2

Snowflake Cloud Data Engineer with 6 years of experience in enterprise data engineering, cloud migration, ELT pipeline development, and analytics. Proficient in Snowflake features including Snowpipe, Streams, Tasks, Dynamic Tables, data sharing, and performance optimization. Experienced with AWS, Python, SQL, dbt, Airflow, and BI reporting solutions.

Expertise & skills

Snowflake
SnowflakeSnowpipeStreamsTasksDynamic TablesSecure Data SharingTime Travel
Programming
SQLPythonShell Scripting
Data Engineering
dbtApache AirflowAWS Glue
Cloud
AWS S3Amazon EC2Azure Blob Storage
Data Modeling
Star SchemaSnowflake SchemaData Vault
Reporting
Power BITableau
Version Control
GitBitbucketJenkins

Selected projects

Responsibilities

  • Migrated legacy Oracle warehouse to Snowflake.
  • Developed ELT pipelines using dbt and Airflow.
  • Implemented CDC with Streams and Tasks.
  • Optimized SQL queries and virtual warehouse sizing.
  • Created reusable transformation framework.

Certifications

  • SnowPro Core Certification
  • AWS Certified Solutions Architect – Associate

Education

  • Bachelor of Engineering (Information Technology)

    Veermata Jijabai Technological Institute

Achievements

  • Reduced batch processing time by 62%.
  • Improved reporting performance by 38%.
  • Insurance Risk Analytics
  • Responsibilities
  • Built dimensional data models.
  • Integrated policy and claims data.
  • Implemented row-level security.
  • Automated daily data validation.
  • Enhanced analytical accuracy and compliance.
  • Logistics Performance Dashboard
  • Integrated fleet and shipment data.
  • Developed curated reporting marts.
  • Implemented automated monitoring.
  • Reduced manual reporting effort.
  • Digital Banking Analytics
  • Created customer behavior datasets.
  • Optimized BI extracts.
  • Built stored procedures.
  • Accelerated executive reporting.
  • Telecom Revenue Platform
  • Developed incremental ingestion pipelines.
  • Implemented secure views.
  • Configured warehouse monitoring.
  • Improved data availability and governance.

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Other Data Engineering engineers with comparable experience.

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