Data Engineering

Data Engineering services

We specialize in delivering Data Engineering solutions: design and build of data pipelines (Spark, Flink, Airflow), ETL/ELT, Big Data, cloud services (AWS, GCP, Kubernetes, Terraform). Solutions tailored to your business and technology context. We also provide ongoing, ad-hoc support for data teams — from pipeline debugging to fast-turnaround changes in ETL/ELT logic. Get in touch to find out how we can support your business growth.

Example engagements

• Apache Airflow 2 → 3 orchestration migration for a healthtech booking platform's production data pipelines — upgrading DAGs and custom operators with zero disruption to daily and hourly data loads.
• Kafka + Debezium change-data-capture pipelines feeding a Redshift data warehouse in near real time, replacing slower batch-only ingestion.
• Apache Iceberg tables built directly on raw S3 as an analytics-ready storage layer, queried by engines like Amazon Athena — no separate data-warehouse ETL hop required.
• A dashboard promotion process for Apache Superset across dev/staging/production environments, enabling safe, self-service reporting company-wide.
• Migrated real-time stream processing from Apache Storm to Apache Flink on AWS for a media/publishing company, including integration testing with Localstack and Docker.
• Consolidated data from heterogeneous sources (XML, Excel, SQL, web) into a single analytics tool for a market-research company's executive team.