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Data Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
dbt-duckdb
March 30, 2026 – Present
Docker-based data transformation platform combining Apache Airflow with dbt and DuckDB for analytics engineering workflows
View Projectspark-cluster
March 30, 2026 – Present
Docker-based Apache Spark cluster (1 Master + 3 Workers) with Prometheus monitoring and Grafana dashboards for distributed computing
View Projectfinancial-projection-tool
July 20, 2025 – July 25, 2025
Your personal finance crystal ball. An easy-to-use tool to see how today's savings turn into tomorrow's wealth.
View Projectdata-lineage-tracking-system
July 10, 2025 – Present
SQL parser that automatically discovers data dependencies and visualizes table relationships
View Projecttrino-hms-datahub
July 10, 2025 – Present
Docker-based Trino data platform with Hive Metastore medallion architecture, DataHub metadata management and OPA access control
View Projectairflow-version-3-localexecutor
July 9, 2025 – July 9, 2025
Docker-based Apache Airflow 3.0 with LocalExecutor for scalable workflow orchestration and distributed task execution
View Projectairflow-version-3-celeryexecutor
July 9, 2025 – Present
Docker-based Apache Airflow 3.0 with CeleryExecutor for scalable workflow orchestration and distributed task execution
View Projectairflow-prometheus-grafana
June 11, 2025 – Present
Docker-based Apache Airflow 3.0 platform with Celery distributed execution, Prometheus metrics collection and Grafana visualization dashboards
View Projectdata-science-portfolio
August 10, 2020 – February 15, 2022
Collection of data science projects demonstrating machine learning and analytics skills
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on data engineering infrastructure rather than core data science applications (e.g., machine learning model development, statistical analysis). While these skills are valuable, the direct alignment with a 'Data Scientist' role, which typically emphasizes statistical modeling, machine learning, and analytical insights, is limited. The breadth of projects shows initiative but a narrow focus for the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on building robust data infrastructure, which suggests an inclination towards structured problem-solving and system thinking.