Nahom User
@nahomuser
Experienced Data Engineer with expertise in cloud data solutions.
What I'm looking for
I am a seasoned Data Engineer with over 7 years of experience in designing and implementing scalable data solutions across various cloud platforms including AWS, Azure, and Google Cloud. My expertise lies in data modeling, advanced SQL, and Python, complemented by hands-on experience with modern data platforms like Snowflake and Databricks. I have a proven track record of building robust, automated data pipelines and leading enterprise-scale cloud data warehouse migrations, which have significantly enhanced data accessibility and enabled actionable insights for business intelligence teams.
Throughout my career, I have successfully led cross-functional teams to deliver large-scale data platform features, mentored junior engineers, and championed best practices in data modeling and CI/CD automation. My ability to optimize Apache Spark workflows and implement real-time data ingestion frameworks has resulted in measurable business impact and improved operational efficiency. I am passionate about leveraging my skills to drive data-driven decision-making and contribute to innovative data solutions.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Shiro Technologies Inc
Jun 2020 - Present (5 years)
Led cross-functional delivery of large-scale data platform features, aligning engineering, analytics, and product teams to deliver scalable pipelines, improved data availability, and measurable business impact in fast-paced environments. Architected and implemented distributed data processing systems using tools like Spark, Airflow, and Snowflake, while championing best practices in data modeling,
Developed and maintained Snowflake data pipelines for high-volume data ingestion, leveraging Snowpipe and auto-scaling warehouses to enable real-time analytics with minimal latency. Engineered robust data solutions integrating Azure SQL Database with Synapse and Azure Data Factory for secure, high-performance warehousing and reporting, implementing RBAC, managed identities, and CI/CD automation.
Education
Degrees, certifications, and relevant coursework
Pennsylvania State University
Bachelor of Science, Mechanical Engineering
Completed a Bachelor of Science in Mechanical Engineering. This program provided a strong foundation in problem-solving and analytical skills, which are transferable to data engineering.
Tech stack
Software and tools used professionally
Splunk
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Google Cloud Platform
AWS Step Functions
GitLab
Kubernetes
Azure Kubernetes Service
Jenkins
Jupyter
NumPy
Pandas
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Gmail
Node.js
Google Analytics
Databricks
Redis
Terraform
CDI
JavaScript
Python
Java
PowerShell
Neptune
Kafka
Grafana
Prometheus
Linux
Windows
Windows Server
Oracle Linux
New Relic
Datadog
Ansible
Serverless
Azure SQL Database
Docker
Apache Beam
Time Analytics
Amazon Web Services (AWS)
SQL
Azure Blob Storage
Dagster
Apache Iceberg
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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