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Builds scalable Python components for market-data services in JPMorgan’s Athena ecosystem, collaborating with global teams to deliver production-ready APIs and data pipelines.
Builds and maintains the market-data platform using Python, collaborating with business teams to deliver scalable financial-data solutions.
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.
Lead a team building a marketing analytics platform using Python, React, and AWS services, overseeing architecture, PR reviews, and AI-assisted development practices.
Build and maintain Databricks pipelines and jobs to migrate data from Amazon Redshift, using AWS services like S3, Glue, and Athena while enforcing data governance.
Build and maintain business-focused data models and dashboards in Amazon QuickSight, mapping product data between systems and validating KPIs for decision-making.
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.
Design and build scalable data pipelines on AWS (Glue, Athena) using Python and PySpark to power AI-driven business workflows.
Lead a team building and scaling an S3-backed data lake and OLAP pipelines for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Builds scalable Python data pipelines on AWS to automate manual Excel processes, integrating relational databases and S3 with Power BI for analytics.
Lead the design and implementation of scalable Snowflake-based data ingestion and validation pipelines on AWS for an enterprise client, enforcing Medallion Architecture and data governance.
Senior Data Engineer building and optimizing scalable data models, pipelines, and cloud-based analytics solutions in AWS to support business decision-making and product growth.
Build and migrate data pipelines from Amazon Redshift to Databricks, using AWS services and enforcing data governance in a modern data lake architecture.
Lead a team building a marketing analytics platform, reviewing code, designing containerized Python/React apps via REST APIs, and integrating AI features into a data-heavy backend on AWS.
Lead a team building a large-scale marketing analytics platform, reviewing code and shaping AI-enhanced, data-heavy backends on AWS while mentoring senior engineers.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
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.
About Binagora At Binagora, we are a fully remote community of software crafters with over a decade of experience partnering with international clients. We collaborate with bold organizations to deliver high-quality,…
Build and maintain scalable data pipelines and systems for a geolocation analytics platform, integrating diverse datasets and optimizing big-data infrastructure.
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