Data Consultant
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Design, develop, and optimize batch and streaming data pipelines using Spark, PySpark, Databricks, and AWS Glue.
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Architect and maintain data lakes and warehouses (Snowflake, Redshift) and implement dbt-based data modeling for analytics-ready datasets.
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Build and manage orchestration workflows using Apache Airflow, and automate deployments with CI/CD pipelines (GitHub Actions, Terraform, Jenkins).
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Implement data governance, security, and compliance controls, including PII masking, RBAC, and encryption.
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Collaborate with cross-functional teams (product managers, analysts, data scientists) to deliver datasets powering BI dashboards and ML models.
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Optimize Spark jobs and SQL queries for performance and cost efficiency on large-scale datasets (billions of rows).
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Develop containerized solutions using Docker and Kubernetes, ensuring high availability and scalability.
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Monitor and troubleshoot pipelines using CloudWatch, Splunk, and Azure Monitor to maintain SLA compliance.
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