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Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Build and maintain Manychat’s data platform, designing scalable pipelines and infrastructure to power analytics and AI across social/messaging apps.
Design and maintain Snowflake-based data pipelines and warehouses that feed credit risk models, analytics, and reporting for a global distributor’s credit function.
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Build and maintain a modern data platform in AWS/Snowflake, designing pipelines with Python/SQL and orchestrating with Airflow/Dagster to power analytics and reporting for a crypto-fintech platform.
Senior Data Engineer to design and build a greenfield data infrastructure for AI-driven growth, including pipelines, warehousing, and analytics for product, CRM, finance, and marketing teams.
Build and own haddock’s data infrastructure from scratch, designing pipelines and models that power AI agents and analytics for restaurant back-office software.
Build and maintain a modern data platform in AWS/Snowflake, design robust pipelines with Python/SQL/dbt, and enable analytics across Bitpanda’s crypto and wealth products.
Designs and maintains AWS/Azure cloud infrastructure and Python-based data pipelines, migrating to Kubernetes with GitOps and CI/CD while ensuring high availability and reliability.
Build and maintain scalable cloud infrastructure on GCP and AWS, automate CI/CD pipelines with Terraform, and ensure reliability and security for a logistics SaaS platform.
Develops Python-based web apps and AI/ML pipelines for a renewable-energy platform, using Dagster, Airflow, and FastAPI.
Backend Python developer building AI-driven data pipelines and APIs for renewable-energy operations, using FastAPI, Airflow, and SQLAlchemy.
Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Designs and implements pricing optimization logic using Python and mathematical models to automate business decisions for a fintech product.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Builds and refines the pricing-optimization engine that powers Fetcherr’s AI-driven revenue management system using Python, mathematical optimization, and PyData tools.
Builds GitHub Copilot Custom Agents and the data/context systems (MCP servers, RAG pipelines, SQL/graph DBs) that let Copilot understand codebases, SDLC rules, and compliance requirements inside VS Code.
Build and maintain data pipelines, AI models, and transformations using Python, GCP, Dataiku, and SQL to turn raw data into business insights for enterprise clients.
Design and optimize scalable data pipelines using Databricks, Apache Airflow, and Spark to process streaming and batch data for enterprise clients across industries like aerospace, energy, and automotive.
Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
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