Data Engineering

Data Flows & Data Warehousing

Design, implement, and maintain robust data pipelines that facilitate the efficient flow of data across various systems and platforms. Tasks include data ingestion, transformation, storage, and retrieval, aiming to ensure data integrity, quality, and availability for diverse business needs. Build scalable and reliable data engineering solutions to accommodate large volumes of data and sustain operations without interruptions.

Data Pipeline Management

Design and manage robust data pipelines using Airflow to ensure seamless flow of data from various sources into Redshift for analysis.

Data Warehousing

Implementing and maintaining Redshift data warehousing solutions for efficient storage, organization, and retrieval of large volumes of transactional data.

Data Migration & Integration

Leveraging AWS DMS for seamless data migration from disparate sources into Redshift, ensuring data integrity and consistency across systems.

Cloud Storage and Query Optimization

Utilizing AWS S3 and Spectrum for cost-effective storage and querying of large datasets, optimizing performance and resource utilization for enhanced analytics capabilities.

Technical Proficiencies

Our Data Engineering team work across geographies and time-zones to ensure instantaneous access to critical data, by using deep knowledge of the skills below

  • Airflow
  • Redshift
  • AWS DMS
  • AWS S3
  • Spectrum
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