Looking for a Data Engineer role focused on building scalable ETL/ELT pipelines and cloud-native data platforms. Keen on roles leveraging Python, PySpark, Snowflake, and GCP — ideally in fintech or data-intensive domains where data engineering intersects with AI/GenAI workflows.
Hassan Yosuf
@hassanyosuf
Backend engineer specializing in scalable distributed systems, data engineering, and cloud-native microservices.
What I'm looking for
I'm a Data Engineer with ~4 years of experience at Quantiphi Analytics. I specialize in building scalable ETL/ELT pipelines, data transformation frameworks, and cloud-native data platforms. My core expertise includes Python, PySpark, SQL, and Snowflake — where I'm SnowPro Core certified — along with GCP and AWS, both of which I'm certified in. I've led end-to-end data engineering projects, including a full enterprise EDW decommission and on-premises-to-cloud migration for Kemper Insurance, and built high-throughput pipelines processing over 200,000 records in under 15 minutes. I also have hands-on GenAI experience — I've built RAG pipelines integrating Claude and LLaMA APIs into production workflows. I'm currently serving my notice period and actively looking for my next Data Engineer opportunity.
Experience
Work history, roles, and key accomplishments
Built production ETL/ELT pipelines processing 200K+ records in 15 mins using Python, PySpark & Snowflake. Led enterprise EDW migration (Kemper Insurance). Architected Java Spring Boot microservices with Fireblocks API integration. Built RAG pipelines with Claude & LLaMA. AWS, GCP & Snowflake certified.
Designed 5 reusable Python/Snowflake ETL frameworks for on-premise to cloud migration, including source-to-target mapping, automated reconciliation, and data lineage tracking. Built ELT pipelines processing 200K+ records in under 15 minutes, achieving 40% Snowflake cost reduction through query optimisation. Orchestrated workflows via Control-M for T+1 data availability.
Delivered a capstone analytics project on Hilton's property rental data, surfacing actionable insights to improve data-driven decision-making. Tech Stack: Java, Python, SQL, Snowflake, Informatica, GCP, Azure, Tableau.
Education
Degrees, certifications, and relevant coursework
Integral University
Bachelor of Technology, Computer Science and Engineering
2018 - 2022
Bachelor of Technology in Computer Science and Engineering completed from August 2018 to June 2022, covering core CS topics and engineering principles.
Tech stack
Software and tools used professionally
Fivetran
Apache Spark
Google Cloud Platform
Google Compute Engine
GitHub
AWS CodePipeline
PySpark
AWS Data Pipeline
MySQL
PostgreSQL
Gmail
Node.js
Spring Boot
Google Analytics
AWS CloudFormation
Jira
SockJS
JavaScript
Python
HTML5
Java
ES6
Java EE
AWS CloudTrail
Linux
Google Cloud Pub/Sub
Google Cloud SQL
JUnit
Docker
dockerized
Root Cause
Amazon Web Services (AWS)
SQL
Fireblocks
Remote
Availability
Location
Authorized to work in
Website
hassanyosuf.netlify.appSalary expectations
Social media
Job categories
Skills
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