Hire the Best ETL Developers
in Indonesia

I am a professional Data Engineer and Web Scraper with years of experience in designing and implementing efficient and effective data processing solutions. My expertise includes developing data pipelines, processing large datasets, and creating scripts and tools for web data extraction automation. I am dedicated to providing accurate and reliable data solutions to support my clients' business analysis needs. With strong technical skills and attention to detail, I am ready to help you optimize your data management processes

Dear Sir, Let me introduce my self: Hold master degree of Information Technology since 2004. Experiences: ICT 22+ years, Huge data 16+ years, InfoSec: 5+ years Industry background: Telecommunication (Intelligent Networks). Familiar with UNIX, Cloud Environment Create custom software to handle data from/to many source/target/format: web (crawling), json, xml, csv, excel, text, sql, mml, pmml, arff, text, binary, etc. Also can retrieve data directly from the compressed file (tar.gz) like find specific information from files inside the compressed file. End-to-end process: collect/retrieve, extract, modify, integrate, analyze (anomaly, pattern, insight), update, reporting (visualization), and send the result to other process. Tools: python, perl, unix (awk, sed. shell, join, etc.), knime, talend, tableau, sql, selenium, etc. Highlight on personal big project (one man developer): 1. on 2006 build tools to process data that run on unix server FSC PrimePower 1500, HW cost USD1 million (dedicated server, no other tools running on it) - system: unix - tools: perl, shell - run everyday - data source: CDR from 35 Intelligent Networks - data size: 65GB /day - report: excel 2. on 2018 build tools to process with multiprocessing (32-cores) on GCP - system: ubuntu (Cloud) - tools: python - run on demand - data source: GdmDataExport (tar.gz) - data size 260GB (bulk data) - output: csv 3. on 2021 build tools to collect data from web (Indonesia Stock Exchange), running everyday - system: windows 10 - tools: python, selenium, knime, postgreSQL, chrome web-driver - run everyday - data source: web, xml - data size: 1.7GB /day - output: json, dbms I will working at any day and any time, but be aware that on normal activities (no project) I will be active to be response at 08:00 - 21:00 Indonesia Time (GMT+7) Please give me a chance to be able to work on this Platform, Thank You

As a seasoned Business Intelligence and Data Warehouse Engineer with over 13 years of experience, I've had the pleasure of working on numerous projects that required collecting requirements for building reports, querying data directly from databases (MS SQL, Oracle, MySQL), loading and transforming data using ETL tools (Pentaho, Datastage), and creating simple Python scripts to extract insights. With a strong background in ETL processes and business intelligence, I'm well-versed in designing and implementing data visualization dashboards using popular tools like Crystal Reports, Business Objects, Tableau, and Power BI. My expertise spans the entire lifecycle of a project, from gathering requirements to delivering actionable insights that drive business decisions. As a detail-oriented problem-solver with excellent communication skills, I excel at: * Gathering requirements and defining project scope * Designing and implementing ETL processes using Python scripts and various ETL tools (Pentaho, Datastage) * Querying data directly from databases (MS SQL, Oracle, MySQL) to extract insights * Creating data visualizations using popular reporting tools (Crystal Reports, Business Objects, Tableau, Power BI) * Collaborating with stakeholders to deliver actionable insights that drive business decisions If you're looking for a reliable and experienced Business Intelligence and Data Warehouse Engineer who can transform complex data into actionable insights, I'm your ideal candidate. Let's discuss how I can help you achieve your goals!

With more than 7 years of experience in the information technology industry, I am a skilled Data Analyst and Data Engineer specializing in Big Data solutions. I have a strong foundation in data analysis, visualization, and dashboard development, with expertise in MS SQL Server, Power BI, SSIS (ETL), AWS, Azure Synapse, PySpark, Azure Databricks, Tableau, Data Pipeline, Data Modeling, and Python. Passionate about database technologies, I am experienced in developing and implementing data collection systems, data mining, pipelines, and visualizations to support data-driven decision-making.