Data Engineering and Analytics

Our Data Engineering & Analytics services help you unlock the full potential of your data — from backend data pipelines to executive dashboards. Whether you’re modernizing legacy infrastructure or launching new reporting capabilities, we deliver the data foundations and insights you need to scale.

Seamless Data Migration & Integration

We make complex data migrations easy and risk-free:

• Legacy-to-cloud data warehouse migration (e.g. Teradata → Databricks)
• Batch and streaming data ingestion pipelines
• Source system integration (ERP, CRM, internal tools)
• Data transformation and modeling (ETL/ELT)

We ensure data is clean, structured, and query-ready — no matter where it comes from.

Modern Data Stack Implementation

Build a scalable, flexible, and modular analytics environment:

• Data warehouse setup (e.g. Snowflake, Databricks, Google BigQuery, Amazon Redshift, Microsoft Fabric)
• ELT tooling (e.g. Apache Airflow, Azure Data Factory, AWS Glue, Google Dataflow, Fivetran, DBT)
• Version-controlled, testable pipelines (e.g. GitHub, GitLab, Bitbucket, Azure DevOps)
• Infrastructure-as-code (e.g. Terraform) for repeatable deployments

We architect systems that are built to evolve with your business.

BI Dashboards & Self-Service Analytics

Deliver clear insights to every stakeholder:

• Interactive dashboards (Power BI, Looker, Tableau)
• Executive scorecards and KPI tracking
• Department-level reporting (Finance, Sales, Ops)
• Drill-through visualizations and exploration tools

We translate raw data into intuitive, actionable visuals — aligned with business goals.

Collaborative Delivery & Enablement

We work closely with your stakeholders and analysts to ensure adoption:

• Business requirements gathering
• Wireframing and iterative dashboard design
• Analytics training and handover sessions
• Documentation for ongoing self-serve use

Our delivery is collaborative, consultative, and built for long-term impact. Reach out to plan your data engineering and analytics roadmap.