Data Engineering.
Data Engineering
Data engineering is building the infrastructure that moves and transforms data. Pipelines that pull data from sources, transform it into something useful, and serve it to analysts, data scientists, and applications. The work spans ingestion, transformation, quality, orchestration, governance, and observability.
Building and Verifying a CSV Pipeline
CLIENT · SARAH HENDERSON
API Extraction and Schema Design
CLIENT · ASSEL NURZHANOVA
dbt Framework: From Scripts to Models
CLIENT · MIHAI POPESCU
Multi-Source Extraction and Layer Architecture
CLIENT · RASHIDA KHAN
Complex Transformations and Quality Monitoring
CLIENT · ROBERTO HERNANDEZ
Schema Contracts and Configuration Tracking
CLIENT · KATRINE MOLLER
Project Memory and Incremental Extraction
CLIENT · JAMIE OKAFOR
BigQuery Cost Architecture and First MCP
CLIENT · FATIMAH AL-RASHIDI
Data Contracts and CI/CD Enforcement
CLIENT · TENDAI MOYO
Streaming Sensor Data with Kafka
CLIENT · NALINI PERSAUD
Debezium CDC + PII in Streams
CLIENT · VIKRAM DOORGAKANT
Hybrid Batch and CDC Pipelines
CLIENT · RACHEL THORNTON
Backfill at Scale: PySpark and Cross-Engine Verification
CLIENT · RACHEL THORNTON
Multi-Engine, Multi-Orchestrator: The Layer That Survives the Choice
CLIENT · DIEGO RIVAS
Ingestion Architecture: Streaming, CDC, and Batch Across a Source Landscape
CLIENT · INGRID HALVORSEN
Warehouse Architecture: Data Products, Quality, Governance, and Observability as One System
CLIENT · INGRID HALVORSEN
Operating an Inherited Warehouse Under a Live Regulator Request
CLIENT · HENK PENGEL
Designing a Governance and Quality Architecture Before Any Code
CLIENT · GRACE BANDA
Designing AI Infrastructure From Scratch
CLIENT · DOMINGOS SOARES
Build vs Buy Across the Stack
CLIENT · MARLENE CASTELLANOS
Evaluating a Tool Landscape Change
CLIENT · ARMEN HOVHANNISYAN
Diagnosing an Inherited Pipeline
CLIENT · LUCIA TEMBE
Architecting a Full Data Platform From a Mandate
CLIENT · FAISAL AL-HARBI
Capstone: One Platform, Four Masters
CLIENT · CLAIRE DONOVAN