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Design and lead data integration solutions using SQL Server, SSIS, and ETL processes to support Cigna’s global healthcare data hub and downstream systems.
Lead a team to build and maintain scalable data pipelines, feature stores, and MLOps solutions for AI-driven credit underwriting at a major bank, using Python, PySpark, and cloud platforms.
Leads a team of software engineers to design and maintain a petabyte-scale data platform for rocket launches, spacecraft, and mission operations, using Python, Spark, and modern data tools.
Design and optimize PostgreSQL databases and cloud-native data pipelines for a U.S. accounting/payroll SaaS, ensuring high availability and performance while mentoring junior engineers.
Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of…
Lead a team to design, build, and maintain scalable data pipelines for procurement analytics using dbt, SQL, Python, Spark, and cloud platforms like Azure.
Design and lead the modernization of a multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls across GCP, AWS, and Azure.
Lead a data engineering team to build scalable pipelines, event streaming, and AI-ready data foundations using Snowflake, dbt, Airflow, Kafka, and AWS, empowering analytics and automation for an e-commerce platform serving photographers.
Lead engineering for JPMorgan’s Global KYC and Risk Assessment Data Platform, designing secure, scalable systems and agentic AI workflows in Python/PySpark on cloud platforms.
Lead a team building a secure, scalable KYC and risk-assessment data platform in Python/PySpark, defining architecture and engineering standards for JPMorgan Chase’s Corporate Sector.
Lead a team of data engineers building and operating the data platforms that power Grata’s private-market dealmaking platform, using Python, SQL, Spark/Databricks, and AWS.
Lead enterprise data governance, coordinate a network of data stewards, and enforce standards for definitions, quality, and metadata across CAE’s business functions.
Lead the design and build of a cloud-first data platform using Azure, Databricks, and Delta Lake, while coaching a global data engineering team to enable AI and analytics at enterprise scale.
Lead the design and delivery of Creditas’s next-gen data and AI platforms, building scalable cloud infrastructure, distributed pipelines, and reusable ML services on AWS to power analytics and generative AI across the company.
Lead backend development with Django and Python, and design Azure-based data pipelines using Databricks, PySpark, and Delta Lake to support financial reporting and enterprise systems.
Build and maintain scalable data pipelines and warehouses to power fraud-detection analytics for a proptech-focused fintech startup, using Python, SQL, BigQuery, dbt, and Airflow.
Lead a team building and optimizing data pipelines, ETL processes, and data warehousing in Databricks/AWS to support analytics and reporting for a telecom infrastructure provider.
Lead a team to design and build scalable data pipelines, warehouses, and analytics products using Python, Spark, and Azure, while collaborating with data scientists and stakeholders.
Leads the design and development of a cloud-based data platform for a large Polish financial-insurance company, ensuring scalable, secure data products and AI-ready architectures.
Design and build cloud-native data pipelines using Microsoft Fabric, Azure Synapse, and Python to enable scalable analytics and data-driven decisions.
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