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Builds ETL pipelines, integrates data sources, and creates Power BI dashboards in a cloud-based BI environment using Python and GCP/AWS.
Lead a data engineering team to build and maintain scalable Azure pipelines for mobility products, ensuring data quality, security, and cost efficiency while collaborating with product and technical teams.
Design and build end-to-end data architectures on Google Cloud, using DBT and BigQuery, while mentoring junior teammates in a fast-growing team.
Build and migrate data pipelines to Google Cloud Platform using Python and Airflow, focusing on reliability and DevOps best practices.
Builds and scales Linux security telemetry pipelines in Rust, Go, Python, and TypeScript to collect, enrich, and distribute security data for cloud protections and audits.
Build and maintain data pipelines, BI dashboards, and governance processes to ensure reliable, strategic insights for a multi-sector industrial group.
Design and build robust, high-performance Big Data pipelines and ETL modules using SQL, Python, Snowflake, Databricks, Hadoop and Kafka in a Cloud environment.
Designs and builds AI-ready data pipelines and architectures for client projects using Python, SQL, dbt, Airflow, and BigQuery/Snowflake/Databricks in a CI/CD environment.
Build and optimize Snowflake data architectures and dbt pipelines for financial clients, ensuring robust data ingestion, transformation, and performance tuning in an Agile team.
Build and maintain BI/Big Data pipelines: ETL with Talend/Informatica, Spark processing, and Python/Scala analytics to deliver reports and dashboards for business insights.
Builds and optimizes Snowflake data pipelines for financial clients, ingesting and transforming data to support analytics and decision-making.
Build and optimize healthcare data pipelines, apply NLP to patient data, and improve ML algorithms for a secure, compliant medical data platform.
Build and maintain Snowflake-based data pipelines for banking clients, ingesting and transforming data with Python/PySpark and CI/CD tooling.
Build and maintain end-to-end data pipelines, ensuring quality and reliability from ingestion to business use, with unit and integration testing.
Build and maintain an AWS-based data platform and implement complex data pipelines for an AI-driven banking project.
Leads Microsoft Fabric-based data-platform modernization for enterprise clients, designing architectures and mentoring teams.
Builds and maintains data warehouses and pipelines on AWS and Databricks, collaborating with analysts and architects to support clients’ data and cloud transformations.
Designs and builds cloud data pipelines and architectures for a mobility company using Python, SQL, and Google Cloud.
Build and maintain distributed data pipelines and cloud services using Python, PySpark, and AWS (Glue, Lambda, ECS) to deliver reliable, high-performance data APIs and integrations.
Cloud Data Engineer assisting large clients with GCP migrations, implementing DevOps pipelines, and securing data pipelines using Python, Kubernetes, and CI/CD.
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