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Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Designs and maintains scalable data models and ETL pipelines for a real-estate platform, using Snowflake, Python, and SQL to integrate property data and power analytics.
Build and maintain data pipelines, models, and dashboards for enterprise clients using Python, SQL, PySpark, Snowflake, and Databricks.
Build and optimize scalable data pipelines and AI platforms using cloud, ETL tools, and SQL for enterprise clients.
Designs and maintains enterprise data solutions, builds AI/ML pipelines, and creates BI dashboards using Azure, Python, and AI tools to support business analytics and decision-making.
Designs and builds enterprise data pipelines, warehouses, and AI solutions in Azure to support analytics and automation, using Python/C# and AI-powered coding tools.
Build and maintain Sun Life’s data pipelines and warehouses, ensuring reliable data for analytics, marketing, and business insights using AWS, Snowflake, Python, and PySpark.
Build and maintain high-volume data pipelines in AWS and Databricks using PySpark, SQL, and Python to support analytics and reporting for aerospace manufacturing.
Build and maintain scalable data pipelines and warehouses for a global food-delivery platform using Python, SQL, and GCP, ensuring clean, reliable data for analytics and ML.
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Designs and builds scalable analytics solutions on Microsoft Fabric, creating data pipelines, models, and governance for enterprise BI and reporting.
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Design, tune, and modernize enterprise-scale databases (Sybase, DB2, Snowflake, SingleStore) using Python and Unix/Linux, while migrating workloads to cloud platforms.
Our Business: Engineered Intelligence Inc. is a power infrastructure technology company focused on delivering advanced analytics and AI-driven solutions for electric utilities and critical infrastructure organizations.…
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Senior SQL Data Engineer builds and optimizes ETL pipelines, designs data models, and writes Python/SQL for a Snowflake-based data platform, mentoring junior engineers and troubleshooting production issues.
Build and optimize data pipelines using Snowflake, Databricks, Python, and SQL to deliver scalable analytics solutions for financial clients.
Designs and builds Azure-based data pipelines and models, turning business needs into scalable, analytics-ready data products for BI and reporting.
Builds and maintains Power BI dashboards and SQL-based reporting pipelines for a veterinary services company, using Azure data tools and on-prem SQL Server.
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