Data Engineer | Analytics Engineer | Former Data Scientist

I'm a data professional with 6+ years of experience building data products, analytical platforms, and automation solutions across multiple industries including food delivery, energy markets, hospitality, and media production.

My background combines Data Engineering, Analytics Engineering, Business Intelligence, and Data Science. Throughout my career I've designed ETL/ELT pipelines, automated business-critical processes, built reporting platforms, developed machine learning solutions, and helped organizations turn raw data into actionable insights.

Currently, I'm focused on modern Data Engineering practices, working with streaming architectures, orchestration, data quality, observability, and cloud-native data platforms.

• Build scalable ETL/ELT pipelines
• Design modern data platforms and lakehouse architectures
• Develop analytics and BI solutions
• Implement data quality and observability frameworks
• Work with both batch and streaming data systems
• Automate business processes through data products
• Bridge the gap between business needs and technical implementation

Python • SQL • Apache Airflow • Dagster • dbt • ETL/ELT • Data Contracts • Data Quality

Apache Kafka • Apache Flink • Apache Spark • SparkML

PostgreSQL • BigQuery • MinIO • Parquet • Data Lakes

Docker • Docker Compose • GitHub Actions • Jenkins • Terraform • AWS • Google Cloud Platform

pandas • Polars • scikit-learn • PySpark • Statistical Analysis • Causal Inference

Tableau • Metabase • Streamlit • Looker Studio • Plotly • Grafana

A production-style streaming data platform for cryptocurrency market data.

Architecture

CoinGecko + Binance → Kafka → Flink → MinIO + PostgreSQL → dbt → Metabase

Features:

• Real-time ingestion and processing
• Medallion Architecture (raw → silver → gold)
• Data Contracts
• Great Expectations validation
• Dagster orchestration
• Prometheus & Grafana monitoring
• CI/CD with GitHub Actions
• Lakehouse-inspired architecture

Large-scale analytics and machine learning project built with Apache Spark and SparkML, focused on predictive modeling and scalable data processing.

• Built a geographic delivery-zone platform at Just Eat that eliminated a dependency costing over €8,000/month.
• Designed and maintained ETL/ELT pipelines and analytical applications used across multiple business teams.
• Automated reporting and operational workflows that significantly reduced manual effort.
• Trained more than 50 employees in Tableau and data analytics practices.
• Developed solutions spanning analytics, machine learning, business intelligence, and data engineering.

• Data Engineering
• Streaming Architectures
• Spark Ecosystem
• Cloud Data Platforms
• Infrastructure as Code
• Data Quality & Observability

• LinkedIn: linkedin.com/in/aarondlc
• GitHub: github.com/kegare825
• Email: aarongonp@gmail.com