- Building and maintaining ETL pipelines
- Automating scheduled data ingestion from external sources
- Large-scale data extraction from websites, PDFs, images, and files
- Backend systems and API development
- Microservices architecture design
- Legacy system modernization
- Data quality improvement, including cleaning, matching, and verification
We work through two models: outsourcing and managed teams.
With outsourcing, we take ownership of clearly defined backend or data projects. With managed teams, we provide mid-level and senior engineers who integrate into your workflow in 14 weeks. We handle hiring, payrolls, taxes, replacements, background checks, and daily coordination.
Our tech stack covers modern data and backend systems, including Scala, Java, C#, .NET, Python, and SQL. We work with Apache Spark, AWS Glue, EMR, Dataproc, Dataflow, Apache Kafka, and Amazon Kinesis. For backend and APIs, we use ASP.NET Core, Spring Boot, FastAPI, REST, gRPC, and API Gateway, supported by Docker, Kubernetes, and data platforms such as Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, and DynamoDB.
