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Build and maintain GCP-based data pipelines using Python, PySpark, Airflow, and BigQuery to process streaming and batch data for enterprise clients.
Designs, builds, and optimizes ETL/ELT pipelines and data warehousing solutions to support HR and payroll analytics using SQL, Python, and cloud platforms like AWS Redshift or Snowflake.
Designs and maintains GCP data pipelines, optimizes BigQuery, and builds ETL/ELT workflows to support business analytics and decision-making.
Data Engineer to migrate and govern data assets from BigQuery Sandbox to a managed Google Cloud Platform environment, building reliable ETL/ELT pipelines.
Designs, builds, and optimizes large-scale data pipelines and distributed systems using Python, PySpark, SQL, and cloud tools (GCP/Azure) to process high-volume datasets for clients.
Builds scalable data pipelines and modern analytics platforms using GCP tools like BigQuery, Dataflow, and Pub/Sub to turn raw data into actionable business insights.
Build and maintain ETL/ELT pipelines and data warehouses to power HR analytics and reporting for a cloud-based payroll and HCM platform.
Build and optimize ETL pipelines, data warehouses, and dashboards to power HR analytics and reporting using Python, SQL, BigQuery, and Google Looker.
Designs and optimizes ETL/ELT pipelines in BigQuery using Python and SQL, migrating and integrating datasets for reliable data solutions.
Build and maintain scalable data pipelines on Google Cloud to power analytics and AI initiatives for DISH’s HoReCa-focused products.
Builds a document IDE for non-engineers using C# and .NET, improving performance, synchronization, and NLP-powered features like federated learning.
Builds a document IDE for non-engineers using C#, .NET, and Rust, focusing on extensibility, user research, and clean code practices.
Build and scale the data platform powering WalletConnect’s crypto/stablecoin payments infrastructure, including real-time pipelines, financial reconciliation, and merchant reporting using Python, ClickHouse, Airflow, and dbt.
Builds AI models, dashboards, and data pipelines to extract insights from MSSQL, BigQuery, and MongoDB for business decisions.
Build dashboards and predictive models using SQL, Python, and AI tools to turn restaurant-platform data into business insights and automated AI features.
Build and scale backend services for an ad-tech platform using TypeScript/Nest.js, GCP, and Google Marketing Platform integrations, while modernizing legacy systems.
Builds ETL/ELT pipelines and inference layers for privacy-safe audience segmentation using aggregated historical data in cloud data warehouses.
Designs and governs enterprise-wide data architecture, canonical models, and cross-system integrations for ERP, CRM, and HRIS to ensure data integrity and analytics readiness.
Builds and maintains integrated business-management platforms using Ruby, Go, TypeScript, and React, deployed on AWS and Kubernetes.
Designs and optimizes Google BigQuery data pipelines and Looker dashboards to deliver scalable analytics solutions for stakeholders.
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