AWS & Azure Data Engineering & Analytics
Build modern data platforms on AWS and Azure — data lakes, pipelines, and warehouses that turn raw, siloed data into governed, analytics-ready insight.
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We design and build end-to-end data platforms on AWS and Azure — ingestion pipelines, data lakes and lakehouses (S3/ADLS, Glue/Data Factory, EMR/Databricks), and cloud data warehouses (Redshift, Synapse, Snowflake) that turn scattered operational data into a governed, analytics-ready foundation. That includes ELT/ETL pipeline design, data quality and lineage tooling, and the access controls and cataloging that keep a growing data platform trustworthy instead of a liability. We hand off documented pipelines and a data model your analysts and BI tools can actually build on, not just a one-off ingestion script.
What's Included
- Data Lake & Lakehouse Architecture (S3/ADLS, Glue, Databricks)
- ELT/ETL Pipeline Design & Orchestration
- Cloud Data Warehousing (Redshift, Synapse, Snowflake)
- Data Quality, Lineage & Governance Tooling