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Microservices | Data Engineering
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
slack-facebook-integration
December 14, 2025 – December 15, 2025
slack-facebook-integration — GitHub repository
View Projectai-playground
July 24, 2025 – July 24, 2025
experimentation and testing space for AI, langchain, vectorDB etc.
View Projectelk_stack
March 25, 2020 – December 30, 2022
This repo contains installation and configuration for setting up a logging service using ELK stack.
View Projectserver-sent-events
June 2, 2019 – July 11, 2023
an architecture that can replace sub model of pubnub due to its limitation of number of messages per sec.
View Projectapache-kafka
May 2, 2018 – March 1, 2023
implimenting basic apache kafka using producer and consumer.
View ProjectfoodKitchenSystem
February 10, 2018 – February 10, 2018
Dalviroo is hypothetical an on-demand food delivery company and our operations revolve around that single concept. Our Stores receive a daily prediction of sales numbers, which in turn help us pre-prep the food before usual rush. And help us decide how much of each raw material needs to be in ready state. We want to display these numbers in a simple report that is accessible via browser but that can also be displayed on a large screen in the kitchen. For every order that is created, workers on kitchen display mark it as “done” which automatically increase “created-till-now” column for that product
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, covering a diverse range of technologies and concepts including data streaming, logging, web development, and AI experimentation. This indicates a proactive and curious mindset. The projects align reasonably well with a Data Engineering role, particularly those involving Kafka, Redis, and ELK, suggesting a good foundational fit for data-centric environments. The breadth of technologies (JavaScript, Go, Python, Docker, Shell) also points to adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication style or work attitude.