Data Platform Engineering
We build data platforms that turn raw data into insights, handling everything from ingestion to analytics at scale.
Our Expertise
- Data pipelines - ETL and ELT workflows
- Data warehousing - BigQuery, Redshift, Snowflake
- Real-time streaming - Kafka, Kinesis, Pub/Sub
- Data lakes - S3, GCS, Delta Lake
- Data quality - Validation and monitoring
Data Platform Components
Ingestion - Batch and real-time data collection
Storage - Data lakes and warehouses
Processing - ETL transformations
Analytics - Query and reporting
Governance - Access control and lineage
Architecture Patterns
Lambda architecture - Batch and real-time layers
Medallion architecture - Bronze, silver, gold data tiers
Event sourcing - Immutable event streams
CDC - Change data capture from databases
Schema evolution - Handle changing data formats
Technologies We Use
- Apache Airflow, Dagster
- dbt for transformations
- Kafka, AWS Kinesis
- BigQuery, Redshift, Snowflake
- Python, Spark, SQL
