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Skills

  • Data Management
  • Data Processing
  • Data Warehouse
  • Database Administration
  • Database Design
  • Engineering
  • Query Optimization
  • SQL

Services

  • Data Engineer – Financial Systems & Pipe

    $18/hr Starting at $50 Ongoing

    Dedicated Resource

    Data Engineer specializing in financial data pipelines, revenue recognition automation, and BI reporting for fintech and e-commerce. I design and optimize scalable data pipelines that bridge complex upstream...

    Data ManagementData ProcessingData WarehouseDatabase AdministrationDatabase Design

About

Senior Analytics Engineer | Building Scalable Data Pipelines, dbt Models & Automated Financial Workflows

Hi, I'm Yusuf — a Senior Analytics Engineer with 4+ years of experience specializing in enterprise-grade financial data pipelines, automated revenue recognition, and reliable data modeling. I bridge the gap between complex upstream backend transactional databases and mission-critical executive or investor reporting. Having engineered high-availability data marts for major tech ecosystems (such as GoPay / Gojek), I help businesses transform messy raw data into trusted, high-performance analytical assets. Core Expertise & Capabilities:
• Data Pipeline Orchestration & ELT: Production-grade pipelines using Apache Airflow, dbt (Data Build Tool), and Python to automate financial workflows and revenue recognition.
• Modern Data Warehousing: Advanced data modeling and query optimization in Google BigQuery, Alibaba Cloud MaxCompute, and PostgreSQL.
• Financial Data Engineering: Structuring transactional data for executive financial metrics, SAP posting schemas, and investor exposure.
• Query & Cost Optimization: Tuning complex SQL scripts across massive datasets for 99.9% ingestion reliability and reduced cloud compute costs.
• Business Intelligence & Reporting: Interactive dashboards and automation with Metabase, Looker Studio, and Google Apps Script. Proven Key Achievements:
✔ Reduced manual financial reconciliation efforts by 80% through automated Airflow ELT pipelines feeding directly into SAP posting schemas.
✔ Maintained high-scale data marts ensuring 99.9% ingestion reliability for enterprise payments and e-wallet products.
✔ Doubled operational team efficiency by building automated data reporting workflows using Python and Apps Script. Whether you need to build a clean dbt data modeling layer, optimize slow and expensive BigQuery SQL queries, or automate complex financial pipelines, I deliver clean, well-documented, and production-ready solutions. Feel free to send a message or invite me to discuss how I can streamline your data infrastructure!

Work Terms

Working Hours & Communication:
• Availability: Flexible hours (UTC+7 / WIB), responsive for client syncs across US, European, and Asian time zones.
• Response Time: Within 2–4 hours during working hours; guaranteed response within 12 hours globally.
• Communication Channels: Guru Messaging, Slack, Microsoft Teams, or Google Meet.

Payment Terms:
• Hourly Contracts: Tracked via Guru Time Tracker or weekly milestone invoicing.
• Fixed-Price Projects: Structured with clear milestones (e.g., 50% upfront via SafePay, 50% upon final delivery & sign-off).
• Minimum Engagement: Open to both small task-based consultations and long-term retainer projects.

Project Execution & Guarantee:
• Code Quality: Clean, well-documented, and production-ready code (dbt models, Airflow DAGs, SQL transformations).
• Revisions & Support: Includes 14 days of post-delivery bug fixes and support to ensure seamless pipeline stability.