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Builds and optimizes data pipelines, storage systems, and analytics platforms using Python, Spark, SQL, and cloud tools (AWS/Snowflake) to enable real-time insights and predictive modeling for a global financial services firm.
Design and build scalable data pipelines and infrastructure using SQL, Python, Databricks, dbt, and AWS Redshift to enable production-ready analytics and AI solutions.
Build and maintain data pipelines, ETL workflows, and dashboards to support AI product analytics and evaluation using SQL, Python, and modern data warehouses.
Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple source systems. Build and maintain cloud-based data platforms, data lakes, and data…
Build and optimize data pipelines for a UK automotive marketing platform, migrating legacy systems to modern cloud warehouses (Redshift/Snowflake) using dbt, Python, and Airflow.
Builds and maintains cloud data pipelines and warehouses for marketing analytics using dbt, Redshift, and Python, ensuring reliable data operations in fintech.
Design and build scalable data pipelines, warehouses, and lakes using Python, SQL, Spark, and cloud platforms to power analytics and decision-making.
Build and maintain ML models for credit scoring, fraud detection, and transaction categorization using Python, AWS, and Docker in a fintech setting.
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Designs and maintains scalable data pipelines and cloud infrastructure to ingest, process, and serve clean data for analytics and operations using Python, SQL, ETL tools, and cloud platforms.
Build and maintain scalable data pipelines and analytics infrastructure for a fast-growing second-hand marketplace, using SQL, Python, and cloud tools to drive pricing, catalog, and operational decisions.
Build and maintain data ingestion pipelines that move and transform SaaS and in-house data into a warehouse, enabling reporting, ML, and GenAI insights.
Lead a data engineering team to design and maintain ETL/ELT pipelines, data warehousing, and analytics infrastructure using tools like Fivetran, dbt, AWS Redshift, and Python.
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, modernizing pipelines and enabling analytics and ML for wealth management.
Design and maintain data infrastructure for ingestion, orchestration, and transformation, build analytical models, and deploy ML solutions for a fintech wealth-management platform.
Build and maintain a fintech data platform using Redshift, Airflow, and dbt, ingesting and transforming raw data into scalable analytics and supporting ML implementations.
Data Engineer leads complex data migrations between CRM/billing systems (Salesforce, Chargebee, Dynamics), focusing on discovery, mapping, and validation to prevent post-migration issues.
QA engineer validates ETL pipelines, backend databases, and cloud data platforms (AWS, Databricks, Redshift) using SQL and Python automation to ensure data integrity and accurate reporting.
Designs and maintains scalable data pipelines and ETL processes using Python, Spark, Kafka, and cloud data warehouses to support analytics and data-driven applications.
Design and implement AWS cloud solutions, migrate on-prem workloads to AWS, and lead cloud strategy for clients using services like S3, Redshift, Glue, and CloudFormation.
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