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Leads end-to-end data and AI solution delivery on Databricks, owning architecture and guiding design while collaborating with engineering and customer teams.
Build scalable data platforms and cloud infrastructure in Azure to power energy trading decisions using Python, C#, or Java, Kubernetes, and CI/CD.
Lead a data engineering team to design, build, and optimize AWS-based data pipelines and architectures, ensuring high-quality ETL/ELT processes and data lake solutions.
Build and maintain a GDPR-compliant data platform using Python/TypeScript, Flask, React, and PostgreSQL to manage privacy-aware data lifecycle and safe-by-design abstractions.
Design and deploy AI/ML systems and data pipelines to turn raw data into scalable, business-impacting insights for PwC clients.
Owns and scales the MuleSoft integration platform, managing Omni Gateway/Flex Gateway, OpenShift, Terraform, and CI/CD with ArgoCD for reliable data flows.
Engineer data-governance workflows for a SaaS platform using Collibra or similar tools, troubleshoot incidents, and support releases across Dev, QA and Prod.
Builds and maintains Azure-based data pipelines using ADF, Databricks, and Synapse, automating ingestion, processing, and orchestration within a secure cloud ecosystem.
Own and operate next-gen hardware test rigs for AI data-center components, troubleshoot faults, and analyze thermal/cooling performance data to drive engineering improvements.
Engineer healthcare data interoperability solutions, ensuring regulatory compliance and translating clinical requirements for research projects while collaborating with public institutions and hospitals.
Designs and maintains cloud data pipelines and big-data architectures on AWS, Azure, and GCP using Databricks and Terraform.
Build streaming and batch data pipelines, govern schemas, and create self-serve tools for trading, wealth, and product teams using a lakehouse and time-series layer.
Build and maintain robust big-data pipelines using Spark (Scala), Airflow for orchestration, and CI/CD tooling; ingest and process large datasets for a major banking client.
Builds data pipelines and APIs in Python on Microsoft Azure, automating integrations and maintaining Azure Functions and Databricks workflows for business teams.
Builds and optimizes graph data pipelines and models using Neo4j, focusing on ETL/ELT workflows and real-time data ingestion for business needs.
Senior Python engineer building and maintaining real-time sports data pipelines that power live betting odds and scores.
Designs and builds scalable data pipelines on Azure using Spark, Databricks, Delta Lake, and Airflow to support digital-transformation projects in a multicultural team.
Build and optimize cloud infrastructure, data pipelines, and developer tools to improve team productivity and customer experience using Python and SQL.
Build and maintain data pipelines for global clients, focusing on observability, data ingestion, and processing using Python, SQL, Docker, and Kubernetes.
Leads Databricks/Snowflake/dbt training and consulting, designs data pipelines, and mentors junior engineers while supporting business development.
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