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Design and maintain AWS-based data pipelines for a U.S. healthcare client, ensuring HIPAA/HITRUST compliance while ingesting and transforming clinical data with tools like S3, Glue, Redshift, and Airflow.
Design and build serverless data pipelines in AWS using Python, SQL, and CDK to create data lakes and ETL processes for analytics and modeling.
Builds and maintains data pipelines for digital health applications, processing multimodal biosensor time-series data (accelerometer, ECG, PPG, EEG) using Python, cloud-native tools, and AWS services.
Designs and builds scalable AWS-based data pipelines, ELT processes, and analytical models using Python, Spark/PySpark, and SQL for enterprise analytics.
Lead a team to design and maintain scalable ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS, Airflow, and Python.
Senior Data Engineer builds and optimizes PySpark/EMR pipelines, a Hudi-based lakehouse, and data APIs on AWS to power real-estate analytics and ML models for lead generation and property valuation.
Senior Full Stack Engineer to maintain and scale a high-traffic hiring-events platform using Java, Spring Boot, Kafka, React, and Python/Django, troubleshooting production issues and ensuring SLA compliance.
Design and build Prospera AI’s data infrastructure from scratch, including Snowflake warehouse, ETL pipelines with dbt/Airflow, and ML feature stores to power analytics and AI model training.
Build and operate Databricks pipelines and jobs to migrate a data platform from Amazon Redshift, integrating with AWS services like S3, Glue, and Athena.
Build and maintain data pipelines and models in AWS, integrating sources like SQL Server and Redshift to power BI dashboards and analytics for clients.
Build and maintain scalable cloud data pipelines and warehouses for a fast-growing Latin American e-commerce platform using AWS tools like Lambda, Glue, and Athena.
Build Databricks pipelines and migrate data from Amazon Redshift to Databricks using AWS S3, Glue, and Athena while implementing data governance practices.
Own and optimize cloud infrastructure, CI/CD pipelines, and containerized deployments for a SaaS platform using AWS, GitLab CI/CD, and Docker.
Owns AWS cloud infrastructure, CI/CD pipelines, and Docker-based workflows to enable fast, safe deployments while managing data infrastructure with Athena and Snowflake.
Senior Data DevOps Engineer builds and automates AWS CI/CD pipelines for data releases using Terraform and Kubernetes, ensuring reliable deployments across S3, VPC, EC2, and EKS.
Build and maintain AWS-based CI/CD pipelines and Terraform infrastructure for data operations, including Kubernetes deployments and automated testing.
Principal Software Engineer to lead the architecture of an AI-ready data platform for a global fintech company, defining standards for trusted, governed data products that power analytics and secure customer integrations.
Build and lead cloud-native FinOps microservices in Python/AWS, owning full lifecycle from design to deployment and scaling.
Build and maintain data pipelines in Java/Python, optimize SQL queries, and create BI dashboards for a SaaS analytics platform on AWS.
Build and maintain ETL pipelines, data quality systems, and new data products using Python, SQL, Spark, and AWS tools to power Leadinfo’s B2B lead-gen platform.
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