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Lead a team to design and build enterprise-scale data warehouses, lakes, and analytics pipelines using SQL, Python, and cloud platforms like Snowflake/AWS.
Build and maintain scalable ETL/ELT pipelines, optimize data warehouses, and deploy ML models on Google Cloud Platform using Python and SQL.
Build and maintain scalable data pipelines on AWS and Databricks, focusing on ETL, real-time processing with Spark/Kafka, and data quality for a fintech/crypto company.
Designs and maintains scalable data pipelines for analytics and ML readiness, integrating multiple data sources and ensuring reliability.
Designs and maintains scalable data pipelines and architectures in Python/Java/Scala, ensuring efficient data flow and processing for analytics and decision-making.
Designs and maintains scalable data pipelines and architectures to enable data-driven decisions, collaborating with scientists and analysts using programming, SQL, and cloud tools.
Build and optimize scalable data pipelines and storage systems using Python, SQL, Spark, Airflow, and GCP for a fintech company.
Designs, builds, and optimizes ETL/ELT pipelines to extract, transform, and load data into warehouses and lakes while ensuring accuracy and performance.
Design and optimize scalable data pipelines using Python, Spark, Airflow, and GCP for a fintech company.
Supervise a team building and maintaining ETL pipelines, data warehouses, and BI dashboards for a global gummy candy manufacturer using SQL, Power BI, and AWS tools.
Designs and maintains ETL pipelines and cloud data platforms using Python, SQL, Hadoop, and Spark for an Indonesian IT consulting firm.
Build and maintain scalable data pipelines and QA processes using Python, cloud tools, and big data tech to deliver analytics solutions for clients.
Design and build AI-driven data pipelines using Databricks, Snowflake, Spark, and Kafka to enable clients' advanced analytics and machine learning solutions.
Builds and optimizes ETL/ELT pipelines in Databricks using Spark SQL and Python to transform raw insurance data into clean, analytics-ready datasets for data scientists and analysts.
Designs and maintains Microsoft Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads in an edtech company.
Design and maintain scalable data pipelines and ETL workflows using AWS and Databricks to process real-time financial data for a crypto-focused platform.
Design and optimize Stockbit’s data platform in Jakarta, building scalable pipelines and warehouses to unlock insights from financial data for data-driven decisions.
Build and maintain ETL pipelines using Python, SQL, Apache Airflow, and dbt to ensure reliable data quality for a global presentation software company.
Build and optimize data pipelines with SSIS and SQL, then create Tableau dashboards to support business analytics and decision-making.
Build and maintain scalable, secure big-data infrastructure using Hadoop, Spark, Kafka, and cloud-native services to support analytics and pipelines.
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