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Build and deploy generative AI applications using LLMs and multimodal models, integrating them into client systems via APIs and optimizing outputs with prompt engineering and RAG.
Build and run production ML systems on AWS for a regulated casino analytics platform, owning training, deployment, monitoring, and cost control.
Build and optimize LookML models, dashboards, and SQL queries in Looker, integrating with GCP services to deliver analytics solutions for enterprise clients.
Lead a small data-science team in fintech SMB lending, building credit-risk models (PD/LGD) and maintaining a shared analytics platform; day-to-day hands-on coding in Python/SQL plus mentoring and sprint planning.
Designs and maintains scalable ETL/ELT pipelines and data platforms using Snowflake, Python, SQL, AWS, and Airflow to power analytics and AI solutions.
Middle Data Analyst builds ETL pipelines, monitors data quality, and analyzes fintech product metrics using SQL, Python, and Tableau to optimize payment solutions.
Build and maintain data pipelines and ML infrastructure for robotics telemetry at a food-tech company, using BigQuery, Argo Workflows, Kubernetes, and Python.
Analyze debt collection performance, build reports in BI tools, and recommend improvements using SQL, statistics, and Excel.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on probabilistic record matching, relevance scoring, and grounded text generation with full provenance tracking.
Design and build scalable Azure data pipelines and Microsoft Fabric analytics solutions using PySpark, SQL, and lakehouse architecture to transform raw data into business insights.
Design and build production-grade data pipelines and systems in Python and T-SQL, using dbt, Airflow/Prefect, and PySpark to deliver reliable, scalable data infrastructure for BI and AI workloads.
Senior Marketing Data Analyst builds and maintains ad-tracking pipelines, ensuring clean conversion signals for Meta, Google Ads, and TikTok to optimize global wellness-app campaigns.
Build and deploy ML models to assess credit risk, detect fraud, and optimize collections for a BNPL fintech service.
Team lead for AI/ML projects: organizes DS/ML teams, sets LLM pipelines (RAG, fine-tuning), translates business needs into technical tasks, and ensures model quality and deployment in production.
QA engineer testing data pipelines, DWH, and analytics systems; writes SQL and pytest scripts; runs Apache Airflow DAGs and analyzes data integrity for a bank.
Builds and optimizes Salesforce Data Cloud to create unified customer profiles and AI-driven personalization for PVH’s fashion brands using Salesforce tools and cloud integrations.
Lead the data stack at a fast-growing pet-care telemedicine startup: build event pipelines, dbt models, and metrics layers in Snowflake/Amplitude to power product decisions and AI features.
Builds and maintains Kestra’s full-stack orchestration platform, integrating data tools like dbt and Snowflake, using Java/Micronaut backend and Vue 3/TypeScript frontend.
Build and maintain scalable GCP-based data pipelines using Airflow, Terraform, and BigQuery, ensuring reliability, security, and performance for analytics workloads.
Build and ship AI-powered product features using LLMs, NLP, and agent-based workflows for a talent-decision platform, working across frontend and backend systems.
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