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Founding Data Engineer • PG/Opensearch
Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
Senior Data Engineer @ STX Next
Design and build scalable data pipelines and warehouses for global clients using Python, SQL, AWS/Azure, Snowflake, and dbt.
Expert Data Engineer with GCP
Build and maintain scalable data pipelines and ETL/ELT processes using Python, Apache Airflow, Spark, and GCP services like BigQuery and Cloud SQL for HSBC’s data platform.
Data Engineer with Snowflake (AI&Data)
Build and maintain scalable data pipelines and modern data platforms (Snowflake, cloud) to support analytics and AI use cases for international clients.
Senior Big Data Engineer
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Analytics / Data Engineer
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Senior Data Engineer
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
Data Engineer in Poland
Build and maintain large-scale data pipelines and analytics platforms for ad-tech, transforming media consumption data into insights using SQL, Python, Airflow, and cloud services.
Data Engineer (Poland)
Build and maintain high-volume data pipelines and analytics solutions for adtech, transforming audience/media data into actionable insights using Python, PySpark, Airflow, and Kubernetes on AWS/Databricks.
Senior Data Engineer
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
DevOps/MLOps Engineer
Senior DevOps/MLOps Engineer builds and scales production-grade ML pipelines for large-scale medical image analysis, using Python, Docker, Kubernetes, and MLOps tools like MLflow.
Cloud Data Engineer: BigQuery, Airflow & Pipelines
Designs and maintains scalable data pipelines on GCP using BigQuery, Airflow/Cloud Composer, and Terraform to ensure reliable, high-performance data delivery for analytics and BI teams.
Machine Learning Engineer
Senior AI/ML engineer builds and deploys production-grade agentic AI systems using LangGraph, Python, and GCP for retail/loyalty applications.
DevOps/MLOps Engineer
Build and scale production-grade ML pipelines for medical image analysis, deploying models with Kubernetes and MLOps tools like MLflow while collaborating with data scientists and engineers.
Data Engineer
Build and maintain data pipelines, ETL processes, and data models for a global trading platform using Python, PostgreSQL, Airflow, and AWS.
Full-Stack AI Product Engineer
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Principal AI Agent / ML Software Engineer (OCI)
Principal engineer defining and building next-gen AI agent platforms on Oracle Cloud Infrastructure, leading multi-team execution and hands-on design of scalable, secure, and cost-aware agentic systems.
Full-Stack Engineer (Healthcare Platforms)
Build full-stack healthcare apps in React and Python, orchestrating long-running workflows with Temporal.io to power value-based care systems for U.S. providers.
Cloud Platform & DevOps Engineer (Azure & Kubernetes)
Design, deploy, and manage cloud infrastructure on Azure and AWS, focusing on Kubernetes orchestration, containerization, and automation to support AI/data platforms for global clients.
Senior Machine Learning Engineer
Build and deploy AI systems in production, focusing on LLMs, agentic workflows, and retrieval architectures using Python, PyTorch, and MLOps on AWS/Azure.