DATA
ENGINEER

Jonathan Immanuel |

About Me

Senior Data Engineer with 8+ years of experience building scalable data infrastructure and ETL pipelines. Specialized in modernizing legacy systems to distributed architectures using Hadoop, Spark, and cloud platforms.

Senior Data Engineer

Transforming data into actionable insights through robust engineering solutions.

  • Focus: Data Engineering
  • Experience: 8+ Years
  • City: Jakarta, Indonesia
  • Degree: Master IT
  • Email: Joimmanuel.irfan@gmail.com

Expert in designing and implementing robust ETL pipelines using SSIS, SSAS, and SSRS. Successfully migrated enterprise systems from Sybase to distributed platforms including Hive, Dremio, Hadoop, Spark, and GCP. Strong background in Data Warehousing, Big Data architecture, and advanced Data Visualization with Power BI.

Technical Stack

Comprehensive expertise across modern data engineering technologies and tools.

Data Engineering

  • Hadoop Ecosystem (HDFS, Hive, MapReduce, ZooKeeper)
  • Apache Spark (Real-time Processing)
  • Apache Airflow (Workflow Orchestration)
  • Dremio (Data Lake Platform)
  • ETL Tools (SSIS, SSAS, SSRS)

Databases & Cloud

  • SQL Server / MySQL / PostgreSQL
  • MongoDB (NoSQL)
  • AWS & Google Cloud Platform

Programming & Visualization

  • Python (Data Processing & Automation)
  • Power BI (Advanced Analytics)
  • Apache Superset

Soft Skills

  • Technical Leadership
  • Cross-functional Collaboration
  • Problem Solving & Critical Thinking
  • Continuous Learning & Adaptation

Professional Journey

Track record of delivering enterprise-scale data solutions.

Education

Master of Information Technology

2018 - 2020

Bina Nusantara University, Jakarta

Specialized in Big Data, Data Analytics, and Machine Learning

Bachelor of Information Technology

2013 - 2017

Bunda Mulia University, Jakarta

Focus on Software Development and Application Engineering

Certifications

Introduction to Data Science

Feb 2026 | Cisco Academy

Prompt Design in Vertex AI

Jan 2026 | Google Cloud

SQL Server SSAS (Multidimensional MDX)

Sep 2022 | Udemy

Machine Learning with Tensorflow

Aug 2022 | Digital Talent

Cloud Digital Leader (GCP)

Apr 2022 | Google Cloud

Apache Spark Essential Training

Oct 2021 | LinkedIn Learning

Data Engineering Foundations

Sep 2021 | LinkedIn Learning

Experience

Senior Data Engineer

Jul 2021 - Present (4+ years)

PT. Adicipta Inovasi Teknologi (AdIns)

  • Designed and architected enterprise-grade ETL solutions using SSIS and SSAS, serving multiple multifinance clients with complex data integration requirements
  • Ensured 99.9% uptime for production Advanced Reporting Services (ARS), supporting critical business operations and decision-making processes
  • Led end-to-end implementation of data warehouse solutions for new clients, from requirements gathering to production deployment
  • Developed and deployed machine learning pipelines for collection scoring using Apache Airflow, improving debt recovery efficiency by 25%
  • Built comprehensive dashboard analytics and operational reporting in Apache Superset and PowerBI, providing real-time insights to stakeholders
  • Automated unit testing frameworks using Spark and Python, reducing testing time by 40% and improving code quality

IT Big Data Supervisor

Jul 2020 - Jun 2021 (1 year)

PT. Perintis Karya Sentosa (OT Group)

  • Spearheaded Big Data initiatives using Hive, Dremio, and Splice Machine, processing over 10TB of data daily
  • Created automated incentive reporting systems for Sales teams, reducing manual processing time from days to hours
  • Managed User Requirement Specifications (URS) and translated business needs into technical solutions, ensuring alignment with organizational goals
  • Mentored junior data engineers and established best practices for data pipeline development

IT Big Data Engineer

Jan 2018 - Jun 2020 (2.5 years)

PT. Arta Boga Cemerlang (OT Group)

  • Developed Business Intelligence solutions and reporting applications supporting data-driven decision making across departments
  • Extracted actionable insights from large-scale datasets, contributing to strategic business initiatives
  • Collaborated with cross-functional teams to resolve application and BI-related issues, ensuring seamless operations
  • Optimized existing data pipelines, improving query performance by 60%

Portfolio

Selected projects showcasing technical expertise.

  • Web Development
  • Data Projects (Coming Soon)

Get In Touch

Open to discussing data engineering opportunities and collaborations.

Location:

Jakarta, Indonesia

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