Data Engineering & Databricks Lakehouse

Large-scale data pipelines and Databricks lakehouses — the data foundation every AI system needs. Serving clients in the USA, Canada, Singapore, UAE & India.

AI is only as good as the data under it. We design and run batch and streaming pipelines that ingest, clean, model and serve large data volumes — with data quality checks, lineage and cost control built in. On Databricks we build Delta Lake, Unity Catalog and MLflow setups and run lakehouse migrations.

Technologies: Apache Spark, Kafka, Airflow, dbt, Snowflake, BigQuery, PostgreSQL, Databricks, Delta Lake, Unity Catalog.

• Batch and real-time streaming pipelines
• ELT/ETL from SaaS, databases and event streams
• Data modelling for analytics and ML
• Data quality, testing and lineage
• Warehouse and lakehouse design
• Pipeline cost and performance tuning
• Lakehouse architecture (bronze / silver / gold)
• Migration from Hadoop, legacy warehouses and on-prem

• Data, ML & MLOps
• Case Studies
• Contact