Data Migration & Automation
We design and execute complex data migrations and build durable automation pipelines that eliminate manual data workflows. Whether migrating from on-premise databases to cloud data warehouses, consolidating post-acquisition data estates, or automating multi-system data synchronization, we ensure data integrity, auditability, and zero-downtime delivery.
Key Benefits
ETL/ELT pipeline development: Apache Spark, dbt, Fivetran, Airbyte, AWS Glue
Cloud data warehouse migration: Snowflake, BigQuery, Redshift, Databricks
CDC (Change Data Capture) with Debezium, Kafka Connect, or AWS DMS
Data quality frameworks: Great Expectations, Soda, Monte Carlo
Workflow orchestration: Apache Airflow, Prefect, Dagster
Post-migration validation, reconciliation reporting & rollback planning
RPA & task automation: Python scripting, Power Automate, n8n
Our Process
Source Profiling & Mapping
We profile source data for schema complexity, volume, data quality issues, and referential integrity to produce a field-level migration mapping and risk register.
Pipeline Architecture & Build
We architect and build ELT pipelines using dbt or Spark, configure CDC streams for live replication, and define idempotent transformation logic with full test coverage.
Validation & Cutover
We run parallel operation with automated reconciliation checks across source and target, then execute a staged cutover with defined rollback triggers and stakeholder sign-off gates.
Automation & Handover
We wrap recurring data workflows in orchestrated pipelines, configure alerting on SLA breaches and quality failures, and document runbooks for ongoing operations.