: Complete data ingestion, data pipeline, data lineage , data quality , data wearhouse, data governance and data reconciliation.
Essential Skills: Must have Data architect experience and knowledge. Data Architect with over 10 +years of hands-on experience in designing, developing, and managing large-scale data solutions. Proven expertise in building and optimizing ETL pipelines.
Robust in data preprocessing, and enhancing data quality.Extracting events, processing large datasets (5 billion+ records) within (a Spark-Hadoop) cluster. Automated data processing tasks for DAAS (Data as a Service) project, streamlining workflow efficiency. Configured file and client setups, ensuring smooth data integration and delivery.
Managed end-to-end data processing pipelines, enhancing data quality and reducing processing time.
📌 Data Architect (Bengaluru)
🏢 Tekskills
📍 Bengaluru
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