Mochammad Arie N.

I’m a Data Engineer and Technical Writer who builds reliable data pipelines and turns complex systems into useful documentation and articles. My core stack includes Python, SQL, Azure, Microsoft Fabric, and Snowflake. My background includes enterprise data engineering at Danone and Zurich, along with consulting work at Avanade. At Danone, I helped improve commercial reporting from T+2 latency to near real time using Azure Data Factory, ADLS, Snowflake, and dbt. The work also standardized KPI definitions and introduced data quality checks. For data engineering projects, I can help you: • Build or improve Python and SQL ETL/ELT pipelines, including incremental loads and scheduled processing. • Develop Snowflake and BigQuery reporting models and dbt transformations. • Create ingestion and lakehouse workflows with Azure Data Factory, Databricks, and Microsoft Fabric. • Troubleshoot slow SQL, unreliable refreshes, data quality issues, and inconsistent Power BI metrics. For technical writing projects, I can help you: • Write technical articles and tutorials about data engineering, analytics, AI, and SaaS. • Create implementation guides, architecture documentation, data dictionaries, and operational runbooks. • Explain product features through practical examples and clear instructions. • Review existing content for technical accuracy, structure, and readability. My writing experience includes work for Qualytics and WisdomAI. My engineering background helps me explain how a product works, where it fits, and the trade-offs a reader needs to understand. I work from agreed requirements, share progress regularly, and document decisions so your team can use and maintain the deliverables. Available for individual projects and ongoing part-time support. Send me your source systems and target output, or your content brief and intended audience, and we can define the scope and timeline.