Data Engineering

Build robust data infrastructures that allow your organization to ingest, process, and analyze massive volumes of data in real-time.

Data Pipelines (ETL/ELT)

  • Automated Data Extraction
  • Transformation using dbt/Spark
  • Data Loading Integration
  • Workflow Orchestration (Airflow)
  • Data Quality Validation

Real-Time Streaming

  • Apache Kafka Implementations
  • Real-Time Event Processing
  • Change Data Capture (CDC)
  • Stream Analytics
  • Pub/Sub Messaging Systems

Data Architecture

  • Data Lake Implementation
  • Cloud Data Warehouses (Snowflake, BigQuery)
  • Data Mesh & Fabric Design
  • Schema Versioning
  • Serverless Data Processing

Big Data Processing

  • Apache Spark Optimization
  • Hadoop Ecosystems
  • Distributed Computing
  • Log Ingestion Strategies
  • Cost Optimization for Large Scale Processing