Muhammad Daffa Quraisy

Built high-throughput ingestion pipelines processing 10M+ records per run across 10+ heterogeneous sources into a structured Data Lakehouse on AWS. Replaced fully manual processes and significantly cut processing time using MWAA and EMR Spark, with dbt handling schema enforcement and data quality.

Engineered a GraphQL gateway in Go for BRI, consolidating 6-10 fragmented financial data sources into a single unified API serving internal engineers, analysts, and executives. Eliminated redundant API calls and enabled analytics capabilities that were not previously possible.

Redesigned legacy REST API into a unified GraphQL gateway for BRI merchant payment analytics, consolidating multiple endpoints into a single API and reducing response time for real-time transaction summaries and merchant performance dashboards consumed by executives.

Built core data infrastructure and backend services for a national-scale executive intelligence dashboard consumed by government officials, aggregating 5-10 data sources across economic, security, and stability sectors at national and provincial level.

Built backend service and data access layer for an election monitoring dashboard tracking hundreds of candidates across regional, provincial, and national levels. Delivered candidate performance analytics and voter data aggregation through optimized SQL queries developed with Data Scientists.

Designed end-to-end data architecture for a government intelligence platform monitoring 7+ economic sectors, orchestrating ingestion from 4 source types (REST APIs, MongoDB, Excel/CSV, web scraping) via Apache Airflow. Delivered sector-specific analytical dashboards to government analysts and executives.

Built a centralized knowledge graph unifying 4-6 disconnected government systems using Ontotext. Engineered a near real-time CDC pipeline syncing SQL Server updates within seconds, improving data discoverability, enabling cross-system querying, and replacing manual reconciliation entirely.

Built backend infrastructure for a corporate event platform handling multiple annual events including year-end and kick-off gatherings. Designed relational database tracking employee profiles, tenure, leave history, and seating logistics. Built gamification logic for gift exchange and door prize systems, plus a weighted scoring algorithm for employee MVP awards combining peer votes with performance data.

Fully migrated a legacy PHP 5 monolith to TypeScript/NestJS and executed a complete database migration from MySQL to PostgreSQL for a government operations management system serving hundreds of users, resulting in noticeably faster queries, reduced downtime, and improved data integrity.