Modern Data Stack Engineering
We architect and build the entire data layer — from ingestion to transformation to analytics — using the best open-source and cloud-native tools.
Data Ingestion & Pipelines
Build fault-tolerant batch and streaming pipelines using Apache Kafka, Spark, Flink, Airflow, and dbt to ingest from any source at any scale.
Data Lakehouse Architecture
Design modern lakehouses on Delta Lake, Apache Iceberg, or Hudi — combining the flexibility of lakes with the reliability of warehouses.
Data Warehouse
Architect and optimise cloud data warehouses on Snowflake, BigQuery, and Redshift — with proper modelling, partitioning, and cost controls.
Real-Time Analytics
Stream processing and real-time dashboards using Kafka Streams, Flink, Spark Streaming, and ClickHouse for sub-second query latency.
Data Quality & Governance
Automated data quality checks, lineage tracking, cataloguing with Apache Atlas and DataHub, and GDPR-compliant data lifecycle management.
BI & Visualisation
Self-service dashboards and reports on Metabase, Looker, Tableau, and Power BI — connected directly to your data warehouse or lakehouse.