About Ichsanul Amal (Nichsedge)
Data Quality Engineer & System Architect specializing in deterministic data engines, distributed pipeline orchestration, and AI-native vibe coding.
Professional Biography
Ichsanul Amal (known professionally as Nichsedge) is an enterprise data engineer and systems architect currently serving as a Data Quality Engineer at Krom Bank Indonesia. Prior to Krom Bank, he worked as a Data Engineering, Governance, and Management Analyst at Accenture, where he designed data quality validation models and automated metadata migrations across 4,000+ critical data components.
With deep expertise in cloud architectures on Google Cloud Platform (GCP) and Amazon Web Services (AWS), Ichsanul specializes in dimensional data warehouse modeling (Kimball methodology), continuous data quality assurance (DAMA dimensions, dbt tests, Elementary), and high-throughput streaming pipelines using Apache Airflow, Kafka, and Google BigQuery.
Academic Foundation & Honors
Ichsanul graduated with a Bachelor of Science in Computer Science (Information Systems) from the University of Indonesia, achieving a 3.77 / 4.00 GPA. During his academic career, he served as a Teaching Assistant for core computer science coursework including Python Programming, Calculus, and Operating Systems, while conducting aspect-based sentiment analysis research at the IR-NLP Lab CSUI.
Core Engineering Philosophy
- Deterministic Systems: Eliminating data rot through automated schema enforcement and zero-entropy pipelines.
- Agent-First Architecture: Building web applications and APIs that are first-class citizens for autonomous AI agents via Model Context Protocol (MCP) and WebMCP.
- Observability & Governance: Continuous telemetry, proactive anomaly alerting in Mode BI, and clear lineage tracking across multi-stage ETL networks.