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Designs and maintains HIPAA-compliant data pipelines for a healthcare AI workflow using AWS tools, SQL, and Python.
Senior Data Engineer designs and optimizes Azure Synapse data pipelines, builds star schemas, and tunes SQL pools for analytics workloads using Azure Data Factory and Databricks.
Build and maintain data pipelines, optimize warehouse performance, and automate data flows to turn raw data into actionable insights for business needs.
Build and scale data infrastructure for an AI-powered accounting automation platform, including data lakes, relational databases, and search/vector systems.
Designs and maintains cloud-based data pipelines in AWS/Azure using Python to integrate and validate data for government-focused analytics.
Builds and maintains scalable data pipelines and infrastructure using Python, SQL, and cloud services to support analytics and machine learning workflows.
Senior Data Engineer designs and optimizes scalable data pipelines, warehouses, and real-time streaming systems using GCP/AWS, Python, Java, and SQL to enable analytics and AI-driven solutions.
Designs and builds scalable data pipelines and warehouses on Google Cloud, focusing on ETL/ELT, real-time ingestion, and DataOps practices.
Build and maintain scalable data pipelines using Databricks, Python, and SQL to move and transform large datasets across cloud platforms like AWS and Azure.
Leads software engineering, data analytics, and enterprise architecture teams to build secure, scalable systems and AI-driven solutions for internal and client-facing operations.
Build and maintain scalable data pipelines on Azure Databricks using PySpark and SQL, enforce governance with Microsoft Purview, and integrate analytics via Microsoft Fabric.
Lead AI engineering efforts, designing and deploying ML systems, mentoring teams, and driving enterprise-level data strategy with Python, TensorFlow/PyTorch, and cloud platforms.
Build and maintain data pipelines, reports, and dashboards to support lending, marketing, and operations at a fintech focused on financial inclusion.
Designs and implements real-time data replication pipelines using Qlik Replicate, CDC, and hybrid cloud architectures to keep analytics platforms synchronized.
Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
Designs and maintains cloud-based PySpark pipelines that transform and load large datasets using Python and SQL, ensuring reliability and performance.
Design and maintain scalable data pipelines and models, set engineering standards, and mentor teams using SQL, ETL/ELT, and cloud platforms like Azure or AWS.
Design, deploy, and optimize Snowflake data warehouses and infrastructure using Terraform, ensuring secure, high-performance analytics for cross-functional teams.
Build and maintain scalable data pipelines and analytics datasets using Azure Databricks, Microsoft Fabric, and Python, enabling reporting and AI use cases for enterprise clients.
Designs, builds, and optimizes an AWS-native data warehouse and ETL pipelines for enterprise-scale telecom analytics, ensuring scalable, production-ready solutions.
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