Ruddy Setiadi Gunawan

Ruddy Setiadi Gunawan

$18/hr
Data engineering
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
37 years old
Location:
Bogota, Bogota, Colombia
Experience:
4 years
Ruddy S. Gunawan Data Engineer / Data Scientist About Me My Contact-- linkedin.com/in/ruddysetiadi-gunawan/ GitHub github.com/ru4871SG Skills Data Wrangling Machine Learning Solutions Data Pipeline Developments Cloud Data Warehousing (AWS & Azure) Data Storage Optimization in Data Lakes Big Data Processing Proficiency in Python, Postgres, Apache Spark, Databricks, Airflow, Kafka, Spreadsheets, Power BI, and more Certifications IBM Data Engineering Specialization IBM Analyzing & Visualizing Data with Power BI Davidson College Google Data Analytics Specialization Google I am a data engineer and data scientist with extensive experience in developing data pipelines, creating ML solutions, and deriving data-driven insights across various domains. I come from Indonesia but I live in Colombia with EST timezone (UTC-5). My proficiency includes: Python, PostgreSQL, MySQL, Apache Spark, Databricks, Machine Learning, Airflow, Kafka, Cloud Data Warehousing, Shell Scripting, NoSQL, R, Power BI, Spreadsheets, and more. Recent Professional Experience Datara: August 2024 - Now Data Engineer Key responsibilities: Build efficient and advanced data pipelines Manage ETL processes in the form of Python and Bash scripts Orchestrate workflow with Airflow and AWS Step Functions Invisible Technologies: July 2023 - October 2024 Advanced AI Data Trainer Key responsibilities: Train advanced AI models through Reinforcement Learning methodologies Provide logical reasoning for AI actions in the VM environment Provide Python-related training data to AI models SISAS Global: January 2023 - March 2024 Data Scientist Key responsibilities: Create and maintain custom ETL processes Analyze and visualize live interactive data in Python Optimize the company’s data for ML use cases Public Portfolio Links AWS Data Lake & Warehouse with Lambda, Glue, Step Functions, Redshift, S3, and Athena ETL Pipeline in AWS and Azure using Spark & Databricks Data Pipeline with Airflow, PostgreSQL, MySQL Data Warehousing with Star Schema in PostgreSQL Crypto Data Pipeline with AI
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