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Builds and maintains data pipelines and platforms using .NET, focusing on scalable, low-code solutions for data workflows.
Builds and maintains an AI-driven data packaging framework to transform raw data into standardized formats for reliable data products in a hybrid role.
Builds data pipelines and AI/ML integrations for generative AI and IoT solutions on Microsoft Azure, ServiceNow, and Power Platform.
Junior Data Engineer helps process and manage data pipelines for e-commerce projects at LPP Group, working hybrid (2 days in office).
Design and build AWS-based data pipelines, integrate SAP data, and maintain ETL/ELT workflows using AWS Glue and Python/SQL.
Builds and optimizes ETL pipelines using PySpark and Databricks to move and model data in a data warehouse.
Builds a predictive-maintenance pipeline for aircraft engines using Azure Databricks, Spark, and Python to process large-scale sensor data.
Design and build scalable data platforms using Snowflake and Azure, implementing ETL/ELT pipelines and data models for modern data architectures.
Builds and optimizes data pipelines using Apache Spark (Databricks/Azure Synapse), Python, Pandas/Polars, and Parquet/Delta Tables for reliable analytics workloads.
Design and build scalable Azure Databricks-based data pipelines and lakehouse architectures using Spark and Azure Data Factory to power analytics and reporting.
Designs and builds GIS applications with ArcGIS Experience Builder, integrates spatial data workflows, and deploys cloud-based geospatial solutions.
Builds AWS-based data pipelines and analytical workflows, engineering features and turning large datasets into actionable insights for business decisions.
Build and maintain ETL pipelines, optimize data flows, and create dashboards using SQL, Power BI/Tableau, and NoSQL/Elasticsearch.
Build and maintain an insurance-focused data platform using Python, AWS Glue, Spark, and Data Mesh principles.
Designs and builds scalable data analytics pipelines on Azure and Databricks for a heating industry client using Python, SQL, and cloud infrastructure.
Builds and maintains data pipelines and warehouses using Snowflake, dbt, SQL, and Python to power analytics for a product-focused team.
Build and optimize batch and streaming data pipelines in Java and Apache Beam, orchestrate with Airflow, and ensure robust testing and observability for analytics workloads.
Integrates lab-instrument data into semantic formats to support pharma analytics and business decisions in a 6–12 month B2B project.
Designs and builds cloud-based data platforms using Snowflake and Azure, focusing on scalable ETL/ELT pipelines and data modeling for analytics.
Designs and maintains the core data platform powering investment and analytics workflows for an asset management firm.
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