Data Engineering

Big data has never been bigger—so its quality has never been more important. Old data management approaches are no longer effective no sustainable. Our federal clients require a mastery of data management techniques that ensure the quality and cleanliness of the derived information. The results? Insights that inform today’s fast-paced decision-making needs.

Pioneered cloud native solutions to acquire data from disparate legacy systems and enabled a centralized enterprise data lake.

Championed the solution to enable real-time data acquisition and reporting to enable the retirement of legacy systems and support year-end close activities.

Closely integrated AI & RPA with data analysis to rectify data from the source systems, supporting audit and reducing the number of NFR’s.

Develop end-to-end processes that ingest, clean, transform, load, and govern data from a variety of disparate data sources.

Implement purpose-built data warehouses, lakehouses, and data marts utilizing data lakes as a centralized repository for both structured and unstructured data.

Discover patterns, correlations, anomalies, and new insights.