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cemott

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Halo!!! , nama saya Yusril Bais 

Saya adalah Freelancer pemula yang fokus pada bidang Data entry

walaupun masih pemula,saya terbiasa bekerja,tepat waktu,dan mengikuti intruksi dengan baik.

saya siap membantu klein dengan hasil terbaik dan komunikasi yang baik.

terimakasih...

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achmadhadianto

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Hi there! I'm Achmad Hadianto, a Data Engineer at an IT Consultant & Services company in Indonesia. I'm continuously learning and growing to become more professional in my career!

Collaborative problem-solver with a strong ability to bridge business needs and technical solutions. Data Engineer with 1 year of professional experience and hands-on expertise in designing transactional databases and performing data modeling from scratch for real-world government projects. Skilled in building complex SQL queries for data quality validation and transforming raw data into analytical warehouse structures that support stakeholder dashboards and strategic decision-making. Collaborating with business users and technical teams to gather requirements and translate business needs into data-driven solutions. Experienced in mapping business processes and designing end-to-end ETL/ELT workflows that align with operational goals and analytical objectives. Before switching careers, I gained 3 years of work experience as an Electrical & Instrument Staff in project and manufacturing environments, that hones analytical thinking, problem-solving skills, and the ability to find root causes and provide practical, data-based solutions. Driven by a detail-oriented mindset, and a fast learning ability, I am continuously learning, practicing, and building personal projects to strengthen my skills using both open-source and enterprise-grade tools. These include Python, SQL, Docker, Airflow, Kafka, Hadoop, Spark, MongoDB, Snowflake, Talend, Power BI, Azure Data Factory, Google Dataproc, and AWS RDS. Continuously deepening expertise in SQL optimization, data architecture, and database design to ensure scalable and reliable data solutions. My next self-learning project: Building end-to-end micro-batch data pipelines, orchestrated with Apache Airflow, using Kafka for streaming ingestion and PySpark for transformations. Implementing dual writes to HDFS and PostgreSQL, with plans to extend pipelines to MongoDB and explore Change Data Capture (CDC) techniques.