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Build and secure multi-cloud infrastructure for PepsiCo’s eCommerce platform using Terraform, Kubernetes, and CI/CD pipelines, while embedding AI-driven DevSecOps practices.
Senior Data Scientist builds and improves AI-driven models to optimize mobile game marketing spend, user acquisition, and campaign performance at scale.
Designs and builds scalable data pipelines on Google Cloud Platform using BigQuery, DataProc, and Composer/Airflow with PySpark and Python.
Maintain and scale Apple’s multi-cloud data and AI platform, ensuring reliability for internal teams building ML/AI services like Ray, LLM agents, and vector stores.
Build and maintain full-stack infrastructure libraries and services to accelerate product teams, using React, Node.js, Scala, AWS, and Kubernetes.
Senior analytics engineer at a nonprofit using tech and data to strengthen Brazil’s primary healthcare system, modeling sensitive health records into actionable indicators for municipal managers.
Build and optimize real-time data pipelines and dashboards for adjoe Ads, a programmatic in-app ad platform serving 10M daily users with 50B bid predictions.
Builds and maintains Azure-based data pipelines using Databricks, ADF, and PySpark to process and store enterprise data in Data Lake Gen2 and SQL.
Build and maintain ETL pipelines, Azure data assets, and Power BI semantic models to power analytics and decision-making for a rail and structural division.
Designs and implements cloud-based solutions using Astronomer’s DataOps platform (Apache Airflow) for enterprise clients, bridging technical and business needs to scale data-driven workflows.
Senior Data Engineer builds and maintains a large-scale event streaming platform using Kafka, Flink, and kSQL to process petabyte-level data for fintech analytics and products in London.
Builds and deploys ML models end-to-end—from data pipelines to production inference—designing A/B tests and optimizing models for HR-product metrics.
Build and maintain high-performance web scraping systems and data pipelines for AI-powered brand protection, using Python, PostgreSQL, and cloud services.
Builds dashboards and data pipelines for satellite operations, analyzing test results and system performance using SQL, Python, and tools like Superset, PostgreSQL, and Airflow.
Design and build scalable big-data pipelines and cloud services (GCP) using Python, Spark, and Airflow to power ad-tech analytics and ML-driven audience solutions for global brands.
Build and optimize backend services and AWS infrastructure for a leading climate-tech platform serving 2.3M users, focusing on PostgreSQL/MongoDB schemas, API design, and cost-efficient cloud architecture.
Build and scale data pipelines, a modern data warehouse, and backend services for a UK fintech lender, primarily using BigQuery, SQL, and cloud-native tools.
Build and maintain high-volume data pipelines, a Redshift warehouse, and a full-stack internal platform for mobile ad-tech, using Python, Java, SQL, and AWS.
Leads DevOps and AI infrastructure for monday.com’s BigBrain team, designing scalable Kubernetes/AWS pipelines, AI gateways, and AIOps agents to handle billions of daily events while mentoring engineers and ensuring security and reliability across global regions.
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.
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