Analyze and normalise fragmented, unoptimized legacy databases into performant, scalable cloud architectures.
Execute complex data cutovers using tools like AWS DMS, GCP Dataflow, or Azure Data Factory with 100% integrity.
Build automated ELT/ETL pipelines using tools like dbt, Airflow, or Prefect to replace brittle, manual scripts.
Design and maintain data warehouses on BigQuery, Redshift, or Snowflake, enabling "Single Source of Truth" reporting for B2B stakeholders.
Implement row-level security, data masking, and PII encryption to ensure compliance with GDPR, HIPAA, and SOC2.