
Data Engineering, AWS, Pythonista, Data Warehouse Expert
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Warehouse Engineer at Everlytics Data Science Pte
Frontend Developer
June 30, 2026 – Present
CoreTelecoms_Capstone
November 23, 2025 – December 21, 2025
CoreTelecoms capstone project for Core Data Engineers Cohort.
View Projectnyc_trips_etl
September 26, 2022 – October 7, 2022
Ingesting NYC Trips data and don't know what to so with it yet, ingest and do some cool stuffs with spark on EMR ,,,good?
View Projectspotify_airflow_batch_ingestion
August 3, 2022 – September 26, 2022
Ingest data from spotify data using Apache Airflow as Orchestrator
View Projectserverless-etl-workflow
July 4, 2022 – January 27, 2023
A Project on Serveless workflow with AWS Glue, S3 & Lambda
View ProjectUdacity-Cloud-DevOps-ALX-T
May 12, 2022 – May 29, 2022
GitHub repo of my learning material and projects, for the ALX-T Udacity scholarship, Cloud DevOps Track.
View ProjectThe-Others
January 31, 2022 – June 16, 2022
This repo contains thing like codes to my articles, a couple of tutorials and ionno just `The Others` things literally.
View Projecttext_explore
December 3, 2021 – April 3, 2022
A Python Library to perform Exploratory Data Analysis on Text
View Projecttext_anonymizer
September 10, 2021 – November 3, 2021
A web app that anonymize named entities in text
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on data engineering, machine learning, and backend development (Python, HCL, Dockerfile, Shell, Airflow, AWS Glue). The target role is 'Frontend Developer'. This indicates a significant mismatch between the candidate's demonstrated project experience and the target role, suggesting a low cultural fit for a dedicated frontend position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.