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Lead AWS cloud engineer building and maintaining EKS clusters, ETL pipelines, and monitoring for JPMorgan’s Market Data Distribution program using Terraform, Docker, and AWS services.
Builds and optimizes AWS Glue and PySpark ETL pipelines for large-scale data reconciliation, validation, and migration on AWS.
Build and optimize AWS-based ETL pipelines using Glue, PySpark, and EMR Serverless to migrate and transform large datasets for a tech-sector client.
Build and optimize AWS Glue/PySpark ETL pipelines for large-scale data migration and transformation, enforce technical standards, and review code in a cloud-native data platform.
Builds scalable Python data pipelines on AWS to automate manual Excel processes, integrating relational databases and S3 with Power BI for analytics.
Build and migrate data pipelines from Amazon Redshift to Databricks, using AWS services and enforcing data governance in a modern data lake architecture.
Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Build and maintain data pipelines in Python, AWS Glue/pyspark, Lambda, Kafka, and Postgres to ensure reliable data processing and warehouse integration.
Build and optimize scalable data pipelines on Databricks and cloud platforms, ensuring data quality and performance for enterprise clients.
Leads data-architecture and engineering projects for banks and insurers, building modern data platforms (lakes, warehouses, cloud-native) and scalable pipelines to support analytics and operations.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Build and maintain distributed data pipelines and cloud services using Python, PySpark, and AWS (Glue, Lambda, ECS) to deliver reliable, high-performance data APIs and integrations.
Build and optimize modern data pipelines and platforms using Spark and Scala for enterprise clients, focusing on scalable ETL, data quality, and cloud-based analytics.
Design and build modern data platforms, including pipelines, Lakehouse/Data Warehouse architectures, and cloud data solutions using Snowflake, Databricks, and Python/Spark.
Design, build, and optimize modern data pipelines and platforms for enterprise clients in finance, transport, and public sectors using SQL, NoSQL, and cloud tools like GCP BigQuery and AWS Glue.
Designs, builds, and optimizes cloud data pipelines using Azure Data Factory, AWS Glue, or GCP Dataflow with Python, Spark, and SQL.
Build and maintain Node.js/TypeScript microservices on AWS serverless (Lambda, DynamoDB) to manage CRM customer data, including GDPR retention and data-quality pipelines.
Build and maintain AWS-based microservices in Python (FastAPI/Flask) to power secure device-financing platforms used globally, focusing on Lambda, SQS, API Gateway, and event-driven workflows.
Builds scalable, cloud-native Java platforms for payments using Spring Boot, AWS, Kubernetes, and event-driven architecture in a fully remote UK role.
Design, migrate, and optimize SQL Server and cloud data platforms (Azure/AWS) for a bank, building ETL pipelines, data warehouses, and HA/DR solutions while ensuring security and compliance.
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