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Build and maintain AWS-based data pipelines and ETL workflows using Python, Spark, and Glue to feed analytics and reporting systems.
SAS Data Engineer supporting users during DWH migration, refactoring SAS code, and optimizing data access for BI/analytics in an international team.
Build and maintain end-to-end data pipelines and warehouses in Snowflake, using Matillion, dbt, Azure Data Factory, and Power BI to deliver scalable, high-performance analytics solutions.
Build and optimize Azure-based data pipelines using SQL, T-SQL, and Databricks to support scalable cloud data solutions.
Build and maintain data pipelines and cleaning processes for a leading insurance company, ensuring reliable analytics and compliance.
Build and maintain reliable data pipelines and models for analytics, using SQL, PL/SQL, T-SQL, and cloud data warehouses to transform raw data into trusted business insights.
Build and maintain automated data pipelines in Python and GCP, cleaning and validating large datasets while integrating Google Sheets, BigQuery, and APIs.
Build and maintain scalable data pipelines and cloud architectures to ingest, transform, and serve reliable data for analytics and reporting across hybrid environments.
Build and maintain data pipelines and microservices on OpenShift, using SQL and Oracle/PostgreSQL to support banking-sector clients.
Build and own the data foundation: reliably land source data into Snowflake, process it on Databricks, and instrument clean product telemetry so data scientists can trust and use it.
Designs and maintains data pipelines using Microsoft Fabric and Azure tools to build scalable analytics platforms for enterprise clients.
Build and maintain scalable data pipelines and cloud infrastructure to move raw client data into clean, secure warehouses for BI and future AI/ML use.
Design and build data pipelines and backend services for AI-driven energy asset operations, integrating SCADA and corporate data in Microsoft Fabric and Power BI.
Build observability platforms using Datadog and OpenTelemetry, instrument apps for metrics/logging, and create dashboards to help teams make data-driven decisions.
Build and maintain ETL pipelines, optimize MongoDB schemas, and create Metabase dashboards to power AI-driven travel rental analytics and reporting.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and optimize data workflows for enterprise clients.
Build and maintain a modern data platform in AWS/Snowflake, designing pipelines with Python/SQL and orchestrating with Airflow/Dagster to power analytics and reporting for a crypto-fintech platform.
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support analytics and AI in high-security sectors like defense.
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and transform data for clients.
Build end-to-end data pipelines and analytics solutions for Oysho’s eCommerce platform using Databricks, PySpark, SQL, and Power BI to drive business decisions.
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