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Build and maintain a secure, scalable Data Management Platform using Java, Kubernetes, Spark/Kafka, and CI/CD pipelines to power global financial messaging services.
Design and build data marts, ETL/ELT pipelines, and dimensional models to support analytics and reporting for fintech clients using Databricks, AWS, and SQL.
Build and scale a modern cloud data platform (Snowflake/Databricks) to power analytics and reporting for a MAS-licensed fintech bridging fiat and digital payments.
Leads backend development for enterprise apps, databases, and mobile platforms, focusing on scalability, reliability, and analytics-driven insights.
Builds a new AI-powered data platform from scratch, focusing on full-stack development, data pipelines, lakehouse architecture, and AI-assisted features using React/Next.js, TypeScript, Node.js, Python, and Azure AI tools.
Build and maintain data pipelines, automate warehouse processes, and design data architecture using Microsoft Fabric in a Scrum team.
Lead a data engineering team to build and maintain scalable, secure data architectures that power AI-driven HR-tech products and internal analytics at Rankmi.
Builds and maintains ETL/ELT pipelines, models data warehouses, and ensures reliable data for reporting and analytics using SQL, Python, and cloud tools.
Designs and builds ETL/ELT pipelines and data models for a scalable data warehouse and lakehouse to power analytics and reporting.
Build and maintain cloud data pipelines on GCP, designing ELT/ETL processes and serverless data engineering solutions to feed a corporate data warehouse.
Builds and maintains GCP-based ELT pipelines and a corporate data warehouse using serverless tools and Airflow.
Build and lead scalable, secure full-stack systems in Node.js using hexagonal architecture, event-driven patterns, and cloud services (AWS/Azure) while mentoring teams on best practices.
Build and maintain cloud-based data pipelines and warehouses for a retail company, enabling analytics, automation, and AI-driven decision-making with Google Cloud, BigQuery, Python, and SQL.
Build and maintain scalable data pipelines and analytics infrastructure using SQL, Python, and dbt to power data-driven decisions for an education-focused platform.
Build and maintain data pipelines, models, and BigQuery structures for Banco Falabella’s Data Lake, ensuring reliable, high-quality data for business decisions and operations.
Designs, builds, and optimizes ETL pipelines into a data warehouse, ensuring data quality and pipeline robustness while collaborating with data science and analytics teams.
Build and maintain robust data pipelines and platforms that power analytics and business decisions across fintech, logistics, and edtech domains using SQL, ETL/ELT tools, and data warehouses.
Design and maintain Snowflake-based data pipelines and governance solutions, ensuring privacy, quality, and compliance while collaborating on scalable data architecture.
Build and optimize AWS-based ETL pipelines and SQL analytics, then create Tableau dashboards that turn raw data into business insights for stakeholders.
Designs modern cloud data architectures, builds scalable ETL/ELT pipelines, and delivers analytics solutions using Azure, PySpark, and Python.
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