Data Engineering Services for Data-Driven Businesses
Reliable data pipelines, scalable warehouses, and real-time analytics that turn raw data into business decisions — delivered by a dedicated data engineering team.
10M+
Events processed daily
Data is only valuable when it's reliable, timely, and accessible to the people who need it. Techgynt's data engineering services build the infrastructure that gets data from your source systems into the hands of analysts and decision-makers — cleanly, quickly, and consistently. We process over 10 million events per day across client deployments and have yet to miss an SLA.
We build ETL and ELT pipelines that handle the full complexity of real-world data: schema changes, late-arriving records, duplicates, API rate limits, and source system downtime. Our data pipelines are designed to fail gracefully — with alerting, automatic retries, and data quality checks at every stage — rather than silently delivering wrong numbers.
Our data warehouse design practice covers Snowflake, BigQuery, and Redshift. We design schemas optimised for analytical query patterns, implement incremental loading strategies to keep costs manageable at scale, and build dbt data modeling layers that are version-controlled, tested, and documented. We also specialise in cloud data warehouse solutions across AWS, GCP, and Azure — recommending the right platform for your existing ecosystem and data volumes.
Real-time analytics is increasingly a competitive requirement. We build streaming pipelines using Apache Kafka, Apache Spark, and Airflow ETL pipeline services that let you act on events as they happen — whether that's fraud detection, live inventory updates, or real-time customer personalisation. Our data engineering team has delivered streaming systems processing millions of events per second with sub-second latency.
We offer data engineering services across three engagement models: Fixed Price for defined pipeline or warehouse builds, Time & Materials for iterative data platform development, and a dedicated data engineering team for hire for organisations building a long-term data capability. We are remote-first and serve clients across the USA, UK, UAE, Australia, and India — with NDAs and data sovereignty options available.
What's Included
Everything you need to go from idea to production — handled by one team.
ETL / ELT Pipeline Development
Reliable ingestion, transformation, and loading pipelines with data quality checks, alerting, and automatic recovery built in. Airflow, dbt, and Spark-based implementations.
Data Warehouse Design & Implementation
Snowflake, BigQuery, and Redshift architectures designed for analytical performance, with dbt data modeling layers and full test coverage. Cloud data warehouse solutions on AWS, GCP, and Azure.
Real-Time Streaming Pipelines
Apache Kafka and Spark streaming pipelines that process millions of events per second with sub-second latency for live dashboards and event-driven automation.
Data Modeling Services
Dimensional modeling, star schema design, and custom data modeling for SaaS businesses — ensuring your warehouse is structured for the queries that matter most.
Technologies & Tools
Frequently Asked Questions
Common questions about our data engineering services for data-driven businesses.
ETL (Extract, Transform, Load) transforms data before loading it into the warehouse — common in older on-premise setups. ELT (Extract, Load, Transform) loads raw data first, then transforms it inside the warehouse using tools like dbt. ELT is generally preferred today because cloud warehouses are powerful enough to handle transformations at scale, and keeping raw data gives you flexibility to rebuild transformations without re-ingesting.
Let's Work Together
Ready to get started?
Tell us what you're building. We'll get back within 24 hours with a clear technical plan.