Wiraash Matabadal

Senior Data Engineer · Data Platforms & AI Tooling

I build the data infrastructure that keeps Suriname's largest telecom running — and the AI tools that make engineers meaningfully faster.

Based in Paramaribo. Working at the intersection of large-scale data and applied AI.

Experience: calculating...

I'm a Senior Data Engineer at Telesur, Suriname's national telecom, where I architect data platforms and build internal AI tooling that accelerates how engineering teams work.

My background spans the full stack of data work — from raw SQL transformations at scale to production ETL pipelines to LLM-powered systems that actually get used. I care about building things that are fast, maintainable, and genuinely useful to the people who depend on them.

I've spent the last few years at the convergence of traditional data engineering and applied AI: shipping an internal LLM-based wiki for enterprise knowledge, integrating AI-assisted workflows into production engineering, and building personal projects that stretch what I can do with a weekend and a Go runtime.

Two-time internal award winner. First-principles builder. Based in Suriname, building for anywhere.

Senior Data Engineer

Telesur (Telecom), Suriname · January 2026 — Present

  • — Designed and optimized large-scale SQL transformations and analytical data workflows across production systems
  • — Developed internal tooling and automation systems for data engineering and analytics teams
  • — Built an AI-assisted solution that accelerates database exploration, querying, and engineering workflows — particularly for researching unfamiliar data
  • — Worked extensively with Python, Airflow, Spark, ClickHouse, Oracle, and PostgreSQL in production environments
  • — Drove AI-assisted engineering workflows using Claude Code and Codex for rapid development and experimentation

Data Engineer

Telesur (Telecom), Suriname · July 2023 — December 2025

  • — Built and maintained reporting, transformation, and analytical workflows across Finance, Customer Care, Provisioning, and C-Level Management domains
  • — Automated billing reconciliation processes using SQL and Python
  • — Developed an internal AI-powered LLM Wiki grounded in enterprise data and domain knowledge — enabling a meaningfully better internal assistant
  • — Supported business decision-making through scalable data models and operational insights, including advising on AI-native customer care tooling
  • — Worked across Oracle, PostgreSQL, SQL Server, SQLite, Sisense, and ClickHouse for analytical and operational workloads
  • — Managed Docker and Kubernetes environments for on-premises Sisense hosting and data processing

Fullstack Developer (Freelance)

January 2018 — Present

  • — Custom web applications and interfaces for independent clients
  • — Full ownership from architecture to deployment

IT Support Staff

Regionaal Ziekenhuis Wanica · March 2020 — June 2023

  • — Infrastructure support and systems administration in a hospital environment

News Engine

Python FastAPI PostgreSQL Vue.js

A production-grade news aggregation platform built for the Surinamese market.

Designed around a modular ingestion architecture that handles RSS fetching, normalization, persistence, and operational observability. Built structured ingestion pipelines with retry handling, runtime JSONL logging, and scheduler orchestration. REST APIs and a Vue frontend power article exploration and ingestion monitoring in production.

Live · GitHub

Shelly

Go

A Telegram-based AI agent system — written before "agent harnesses" were a product category.

Built a broker-agent architecture supporting secure remote command execution. Integrated LLM-powered command routing and intent classification. Implemented an allowlist-first execution security model with scoped filesystem access. The kind of project that teaches you what abstractions you actually need.

GitHub

Internal LLM Wiki Internal

Python LLM integration Enterprise data

An AI-powered knowledge base grounded in enterprise data and operational domain knowledge. Built to give internal teams a better assistant than generic LLMs — one that actually knows the systems, the processes, and the business context. Enabled non-technical stakeholders to surface answers from institutional knowledge that previously lived only in people's heads.

Data & Infrastructure

Apache Spark Apache Airflow ClickHouse Oracle Database PostgreSQL SQL Server SQLite ETL/ELT Pipelines Docker Kubernetes

Languages & Frameworks

Python SQL Go Java TypeScript JavaScript Vue.js FastAPI

AI & Tooling

Claude Code Codex Pi Coding Agent LLM integration Prompt engineering AI-assisted development workflows Sisense
2025
High Performer of the Year — Telesur
2024
Talent of the Year — Telesur

I'm always open to interesting conversations — whether that's a project, a role, or just someone who wants to talk data engineering and AI tooling.