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Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for large-scale analytics.
Lead a team to build and optimize AWS-based data platforms using PySpark, Glue, EMR, and Redshift for large-scale ETL/ELT pipelines and data warehousing.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, Glue, EMR, and Redshift for a UAE customer.
Lead a small team to design and build scalable data pipelines, models, and APIs for HR Ways, ensuring data quality and reliability while mentoring engineers and shaping data strategy.
Lead a team building and optimizing large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting.
Lead the design and optimization of scalable data platforms on AWS, building ETL pipelines and warehouses using Redshift, Oracle PL/SQL, and PostgreSQL PL/pgSQL.
Lead a team to design, build, and optimize scalable data platforms using AWS Redshift, Oracle PL/SQL, and PostgreSQL PL/pgSQL for enterprise data solutions.
Lead a team to design, architect, and deliver enterprise-scale data solutions using APIs, microservices, and cloud platforms while mentoring engineers and ensuring DevOps-aligned delivery.
Lead a team of data engineers to design and deliver scalable cloud-based data solutions, enforcing best practices in CI/CD and microservices architecture.
Lead the Group’s data governance framework, define master data standards, enforce quality rules, and partner with teams to ensure consistent, compliant data across all entities and systems.
Lead a team to build and maintain Snowflake-based data ingestion pipelines and AWS data platforms for enterprise clients, enforcing Medallion Architecture and data quality standards.
Lead data engineering projects for clients, design scalable data architectures, and mentor teams on best practices in data quality and collaboration.
Leads a team to design and scale modern data platforms, building cloud-based pipelines and infrastructure using Python, SQL, Snowflake, and Airflow.
Lead a team to design and scale data platforms, build robust pipelines, and mentor engineers using Python, SQL, Bash, Docker, and Kubernetes.
Leads a team to design and scale data platforms for analytics using Python, SQL, Bash, Snowflake, and Apache Airflow.
Define platform architecture and lead data engineering for a fintech company, designing scalable systems and setting engineering standards while mentoring engineers.
Lead the design and modernization of enterprise data platforms using Informatica IDMC and Databricks Lakehouse, guiding migrations and ensuring data governance and quality.
Lead the design and modernization of enterprise data platforms using Informatica IDMC and Databricks Lakehouse, guiding large-scale data transformations for regulated industries.
Lead the design and scaling of data pipelines using Databricks, PySpark, AWS, and SQL while mentoring engineers and aligning with product and engineering stakeholders.
Lead a team building scalable data pipelines in Snowflake and AWS, implementing ELT workflows and Medallion architecture to ensure high-quality financial data.
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