Data Engineering & Workflow Automation

Building Robust Data Foundations for Seamless Operations

Our Data Engineering services ensure your data is clean, accessible, and ready for analysis. We design, build, and maintain scalable data pipelines and automated workflows, transforming fragmented data into a unified, reliable resource. From on-premise to cloud, we manage complex data migrations and integrations.

Key Offerings:

• ETL/ELT Pipeline Development: Using SSIS, PySpark, and custom scripts.

• Workflow Automation: Streamlining data processing and reporting tasks.

• Data Migration: Seamless transitions from platforms like SQL on-prem to Azure SQL Instance, Snowflake to Databricks, and StreamSets to Databricks.

• Data Lake & Data Warehouse Solutions: Implementation and optimization on platforms like Databricks and Snowflake.

• Data Governance & Quality: Ensuring data integrity and compliance.

Technologies: Python, PySpark, SQL, SSIS, Databricks, Snowflake, AWS, Azure. StreamSets, ADF, AirFlow ,Informatica, DBT, NoSQL

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