Hire the Best Data Engineers
in Indonesia

Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 5+ years of experience engineering data systems at companies like Danone and Zurich, I help businesses transform fragile prototypes into resilient, production-grade infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. ➔ Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (Azure). ➔ Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔ The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and databases into clean Snowflake/BigQuery layers. ➔ Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. ➔ Technical Writing for Data & AI Teams: Creating product documentation, implementation guides, architecture documentation, data dictionaries, knowledge bases, and thought leadership content that makes complex systems easier to understand and adopt. 🛠 Tech Stack Languages: Python (FastAPI, Pandas, PySpark), SQL Data Engineering: ETL/ELT Pipelines, Data Warehousing, Data Modeling, Data Quality, Data Governance Cloud & Warehousing: Snowflake, BigQuery, Databricks, Azure Data Factory, Azure Data Lake, AWS (S3, Athena, Glue) Orchestration & Transformation: Apache Airflow, dbt Analytics & BI: Tableau, Power BI Development & Collaboration: Git, GitHub, VS Code Data Ops: API Integrations, Data Validation, Workflow Automation Technical Writing: Product Documentation, API Documentation, User Guides, Knowledge Bases, Data Dictionaries, Technical Blog Content ✅ Why Me? 5+ Years Experience: I've seen what breaks at the enterprise level and how to prevent it in your startup. Hands-On Builder & Technical Writer: I can both build the system and explain it clearly to engineers, stakeholders, and customers. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt?

Are your data pipelines failing silently, or is your cloud data warehouse bill spiraling out of control? I help data teams and startups design, build, and optimize reliable modern data platforms across AWS and GCP - ensuring zero data loss, predictable pipeline runs, and cost-efficient query performance. Core Focus Areas & Solutions: - Pipeline Orchestration & Modeling: Production-grade Apache Airflow DAGs, dbt transformations, modular ELT architectures. - Data Lake & Warehouse Design: Modern storage and modeling on Amazon Redshift, BigQuer, and S3. - Cost & Performance Optimization: Partitioning/clustering tuning, cluster resizing, query debugging, and infrastructure refactoring to reduce monthly cloud spend. - Automated & Resilient Ingestion: CDC ingestion, API connectors, error handling, automated alerts, and schema evolution handling. Tech Stack: Cloud: AWS (S3, Redshift, ECS, Lambda, IAM), GCP (BigQuery, Cloud Storage, GCF) Data Tools: Apache Airflow, dbt, Docker, Airbyte, Kafka Languages: Python (Pandas, Polars, PySpark), Advanced SQL, Bash Whether you need to migrate legacy pipelines, fix brittle ETL workflows, or optimize your data warehouse infrastructure from the ground up, let's connect and discuss your architecture.

As a data professional, I possess expertise in multiple subjects and can work in different computing environments, whether on-site or remote, on-premise, or on the cloud. I have a well-rounded skill set in the data field, including data pipeline, data analysis, and data science workflows. I can develop end-to-end analyses to provide insights and business recommendations. Stack: a. Data Storage and Management - Relational Databases: MySQL, PostgreSQL, Microsoft SQL Server, Oracle - NoSQL Databases: MongoDB, Cassandra. - Cloud Databases and Data Warehousing: BigQuery, Snowflake, Amazon Redshift. b. Data Extraction and Processing - ETL Tools: Alteryx, Talend, Pentaho, Apache NiFi. - Cloud-based tools: AWS Glue, Azure Data Factory. - Scripting and Automation: Python, R, SQL. - Big Data Processing: Apache Spark, Hadoop, Databricks. c. Data Visualization and Business Intelligence (BI) - BI Tools: Tableau, Power BI, Looker, QlikView. - Visualization Libraries: Matplotlib, Seaborn, Plotly, ggplot2, Shiny. d. Data Analysis and Statistical Tools - Statistical Software: R, SAS, Stata. - Machine Learning Libraries: Scikit-learn, TensorFlow, PyTorch. e. Collaboration and Workflow Management - Version Control: Git, GitHub, GitLab. - Collaboration Platforms: Jupyter Notebooks, Google Colab, Databricks. - Task Management: Jira, Trello, Asana. f. Cloud Platforms - Google Cloud Platform (GCP): BigQuery, Data Studio. - Amazon Web Services (AWS): S3, Redshift, QuickSight. - Microsoft Azure: Synapse Analytics, Power BI. g. Specialized Tools - Geospatial Analysis: ArcGIS, QGIS. - Time Series Analysis: Prophet (Python), ARIMA models (R, Python). - Data APIs: REST APIs, JSON processing, Web scraping tools (BeautifulSoup, Scrapy).

Hello! 👋 My name is Muhammad Amin, I am from Indonesia. I am a web developer and data engineer with over 7 years of experience. I have a diverse skill set that includes proficiency in Python, PHP Codeigniter, and Node.js, as well as expertise in cloud platforms like GCP, Azure, and AWS. Beyond my professional experience, I have a strong foundation in data science and machine learning, which I've developed through various online courses and certifications from platforms such as Datacamp, Coursera, and Dicoding. I'm passionate about learning and continuously improving my skills in these fields. Feel free to check out my GitHub portfolio to see some of my work! I'm always happy to connect, so don't hesitate to reach out if you have any questions or just want to chat. 😊 Github: amien1410

I am a seasoned AVP and Senior Software Engineer with 25 years of extensive experience in software development and technical leadership. My expertise lies in building robust applications and leading teams to deliver high-quality solutions. I excel in transforming complex requirements into user-friendly applications while maintaining a strong focus on detail and performance. Throughout my career, I have successfully guided projects from conception to deployment across various industries. I have a proven track record of enhancing operational efficiency and delivering innovative technology solutions. My strategic mindset and ability to communicate effectively with both technical and non-technical stakeholders set me apart. If you're seeking a knowledgeable and reliable partner to elevate your software solutions, I am here to help you achieve your goals and drive project success. Let's connect and discuss how I can contribute to your vision.

Businesses lose time and money when their data is scattered, pipelines break, or dashboards don't tell the full story. I fix that. I'm a Data Engineer and Analytics specialist focused on building reliable data infrastructure — from automated pipelines to dashboards your team actually understands and uses. How I can work with you: I don't just deliver a one-time fix and disappear. I grow into a long-term technical partner as your data needs evolve. What I can deliver: 📊 Analytics & Visualization - Metabase setup, self-hosting, customization, and ongoing support - Power BI dashboard development - Clean, meaningful dashboards built around your business questions ♻️ Data Pipelines & Integration - ETL pipeline development with Mage.AI, Airflow, and ClicData - Multi-source data integration and automation - Database migration with zero data loss (MySQL, PostgreSQL, and more) 🛠️ Infrastructure & Deployment - Self-hosted apps on Docker, DigitalOcean, and Azure VM - Windows Server & Ubuntu Server management - Microsoft Azure (Functions, VM, DevOps) 💻 Backend & API Development - .NET Core / .NET Framework (C#) web apps and REST APIs - Python - SQL Server, MySQL, PostgreSQL Currently, my main focus is in: - Built and maintain ETL pipelines that ingest financial data feeds from banks, CSVs, and PDFs — feeding accurate data for next steps. - Develop and optimize Metabase dashboards at scale — including query-level optimization to keep dashboards fast as their data grows past millions of rows.