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duckdb_streamlit_arrow_flight
November 2, 2024 – November 2, 2024
SQL query executor on remote DuckDB instance using Apache Arrow Flight RPC through Streamlit Web interface.
View Projectduckdb_job_runner_on_s3
August 5, 2023 – August 7, 2023
A Project on using DuckDB as an Engine
View Projecttraining_mage_ai_netflix_top100
May 15, 2023 – May 15, 2023
training_mage_ai_netflix_top100 — repository
View Projecttwitter_data-lakehouse_minio_drill_superset
January 16, 2023 – February 4, 2023
Building a Data Lakehouse for Analyzing Elon Musk Tweets using MinIO, Apache Airflow, Apache Drill and Apache Superset
View Projectairflow_minio_twitter_data_pipeline
December 28, 2022 – January 6, 2023
A simple example of Data Pipeline using apache-airflow (Orchestrator) and MinIO(Object Storage like s3)
View Projectstreamlit_duckdb
November 21, 2022 – August 31, 2023
Tutorial on Streamlit + duckdb for blazing fast web app
View Projectgenesis_data_generator
August 9, 2022 – November 22, 2022
Fake Data Generator to different destinations
View Projectdata-dockerfiles
January 6, 2022 – September 17, 2023
a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries.
View Projecttuto_python_kafka_cassandra_postgres
September 26, 2021 – January 29, 2022
Data Engineering Project: Consumer data from Kafka and insert in to cassandra & postgresql databases. There is also some data enrichement
View Projectedns-compliance
September 2, 2019 – May 22, 2023
A survey of EDNS compliant DNS servers in Africa
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus heavily on data engineering tools and pipelines. While this aligns with the technical aspects of a Data Scientist role, the lack of explicit data science projects (e.g., machine learning, statistical modeling, advanced analytics) suggests a potential gap in direct cultural fit for a pure Data Scientist role, leaning more towards a Data Engineer profile. The diversity of tools used indicates an openness to explore new technologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a hands-on, practical approach to data engineering challenges.