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akmalariq/README.md

Akmal Ariq

Portfolio LinkedIn Email

About

Data Engineer with 4+ years of professional experience across banking and retail (SMBC Indonesia, Bank Sinarmas, Kanmo Group). I build and own ETL/ELT pipelines and data warehousing end to end, with 100% submission accuracy on OJK and Bank Indonesia regulatory reporting.

More recently I have been building AI-augmented data platforms: LLM/RAG agents that validate data against documented business rules, answer questions over the data catalog with cited sources, and turn manual review into automated, auditable pipelines. I hold four Databricks Academy credentials, including AI Agent Fundamentals and Generative AI Fundamentals.

  • Based in Jakarta, Indonesia
  • Open to relocation (visa sponsorship required)

Tech stack

Area Tools
Languages Python, SQL (T-SQL), Bash
Orchestration Dagster, Apache Airflow, Kestra
Transformation and warehouse dbt, ClickHouse, DuckDB, BigQuery, SQL Server, PostgreSQL
ETL and integration Talend, SSIS, REST APIs, incremental loads (CDC, upsert, append)
Cloud and IaC GCP, AWS, Terraform, Docker
Streaming and big data Kafka, Spark, Databricks (Delta Live Tables, Unity Catalog)
AI and LLM LLM/RAG agents, LangChain, ChromaDB, Databricks
BI and monitoring Superset, Looker Studio, Power BI, Grafana, Prometheus

Featured projects

Project What it is
agentic-data-quality-pipeline LLM/RAG agent that detects and fixes data-quality issues against documented business rules, orchestrated with Dagster
data-catalog-rag-agent RAG agent over the warehouse catalog: ChromaDB index answers analyst questions with cited sources
db-health-dashboard SQL platform health checks for freshness, duplicates, nulls, schema drift, and table growth
retail-demand-forecasting-ai Gradient-boosted daily sales forecasting with a GenAI insight layer, orchestrated with Dagster
ecommerce-data-analysis RFM segmentation over 541K transactions: SQL (DuckDB), dashboard, tests, CI
earthquake-analytics End-to-end GCP analytics platform: BigQuery, dbt, Kestra, Terraform, and Looker Studio over 10+ years of USGS earthquake data

Certifications

  • Databricks Academy: AI Agent Fundamentals, Generative AI Fundamentals, Databricks Fundamentals, Get Started with Data Engineering

Activity

Akmal Ariq's contribution chart

GitHub Streak

Turning data into reliable, automated, and AI-augmented systems.

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  1. agentic-data-quality-pipeline agentic-data-quality-pipeline Public

    Agentic data quality pipeline: LLM/RAG agent detects and fixes data quality issues against documented business rules, orchestrated with Dagster

    Python

  2. data-catalog-rag-agent data-catalog-rag-agent Public

    RAG agent over the data warehouse catalog: ChromaDB vector index answers analysts' questions with cited sources, orchestrated with Dagster

    Python

  3. db-health-dashboard db-health-dashboard Public

    Database platform health product: SQL checks for freshness, duplicates, null rates, schema drift, and table growth with threshold verdicts and a dashboard (Postgres).

    Python

  4. earthquake-analytics earthquake-analytics Public

    End-to-end GCP analytics platform over 10+ years of USGS earthquake data: BigQuery, dbt, Kestra, Terraform, and a Looker Studio dashboard.

    Python

  5. ecommerce-data-analysis ecommerce-data-analysis Public

    RFM customer segmentation on 541K e-commerce transactions — SQL (DuckDB) cleaning + scoring, dashboard, tests, CI.

    Python

  6. retail-demand-forecasting-ai retail-demand-forecasting-ai Public

    Predictive analytics for multi-branch retail: gradient-boosted daily sales forecasting with a GenAI insight layer, orchestrated with Dagster

    Python