
I am a data engineer experienced in orchestrating and building complex data pipelines, ensuring data quality and monitoring performance.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
kraken_api_project
June 3, 2026 – Present
A real-time ETL pipeline using the Kraken API. Data is ingested with Airflow, staged in PostgreSQL, streamed through Kafka, processed with Spark, and served via Cassandra.
View Projectcoinpaprika_etl
June 1, 2026 – Present
A simple crypto ETL pipeline that fetches market data for a set of coins from the CoinPaprika API, normalizes it with pandas, and loads it into a PostgreSQL table.
View Projectweather_stream
June 1, 2026 – Present
A lightweight Kafka-based weather ETL pipeline that fetches current weather from OpenWeather, publishes it to a Kafka topic, and stores the streamed results in Cassandra for later analysis.
View Projectecommerce_spark_pipeline
June 1, 2026 – Present
A PySpark-based ecommerce data pipeline that ingest CSV data (customers, order_items, items, returns), transforms the data, and ensures data quality
View Projectbinance_etl
April 16, 2026 – Present
An ETL pipeline using Binance crypto market trades APIs
View ProjectCultural Fit Analysis
The candidate's projects primarily revolve around data engineering and ETL pipelines, which aligns well with the technical demands of a Data Scientist role, especially one involving data infrastructure. However, the projects lack explicit demonstration of advanced statistical modeling, machine learning, or deep analytical work typically associated with a pure Data Scientist role, suggesting a stronger fit for a Data Engineer or ML Engineer role. The diversity of tools used (Kafka, Spark, Cassandra, PostgreSQL, Airflow) indicates an ability to adapt to various technical stacks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on technical implementation.