AHMED NOUMAN
PRINCIPAL DATA ENGINEER-- Latham, New York, USA
www.linkedin.com/in/ahmed-nouman-ramay-42415b255/
Summary
Strategic Software Engineer with 9+ years of experience architecting and delivering scalable, end-to-end data solutions.
Skilled in leveraging C#/.NET alongside modern data platforms to build robust data pipelines, optimize storage, and enable
real-time analytics. Proven track record in driving data modernization initiatives, collaborating with cross-functional teams,
and delivering business-driven outcomes through advanced data engineering and cloud-native architectures. Passionate about
turning complex datasets into actionable insights while ensuring performance, reliability, and innovation in every solution.
Education
University at Albany
Bachelor of Computer Science
2014 – 2017
Technical Background
Principal Data Engineer – Devsfleet
Lead the design and implementation of scalable data
pipelines using Apache Hadoop and Apache Spark,
ensuring high-performance batch and stream data
processing.
Architect and maintain secure, scalable data solutions
using Azure Data Lake Storage, Azure Data Factory,
Azure Synapse Analytics, and Azure Databricks.
Implement robust ETL/ELT pipelines with Azure Data
Factory and Azure Logic Apps, ensuring data accuracy
and integrity across integrated systems.
Monitor and enhance pipeline performance using Azure
Monitor, Log Analytics, and Application Insights.
https://devsfleet.net/
Jun 2023 - Present
Software Engineer – Intelligent Retrieval
Designed and managed complex relational databases
using Advanced SQL, PostgreSQL, and SQL Server,
ensuring high levels of data integrity, performance, and
scalability within .NET-based applications.
Developed and optimized ETL workflows using Talend,
Informatica, and custom C#/.NET scripts, enabling
seamless integration, transformation, and loading of data
across diverse systems.
Collaborated with cross-functional teams to deliver clean,
structured data pipelines using .NET technologies,
supporting analytics, machine learning, and business
intelligence requirements.
Focused on enhancing data quality, reducing latency, and
improving efficiency of data delivery through wellarchitected, C#-driven solutions.
https://intelret.com/
Mar 2022 – May 2023
Back-End Developer – NextGen
Led cloud-based data engineering projects using
Microsoft Azure, delivering scalable and secure
solutions by integrating C#/.NET services with Azure
Synapse Analytics and Azure Data Lake Storage for
enterprise-grade data warehousing.
Developed end-to-end data pipelines using Azure
Data Factory and orchestrated with C#-driven Azure
Functions, enabling near real-time ingestion,
transformation, and analytics.
Collaborated with data scientists and business
stakeholders to convert complex data into actionable
insights using .NET APIs, enhancing data accessibility
and operational efficiency.
Utilized C# scripting and .NET automation to
streamline repetitive data engineering tasks, improving
productivity and minimizing manual overhead.
https://nextgen.net/
Mar 2020 – Feb 2022
Associate Data Engineer – INFOLOB
Specialized in NoSQL databases such as MongoDB and
Cassandra, optimizing storage and retrieval within
Azure Cosmos DB-backed architectures.
Used Python to script ETL pipelines, automate
workflows, and perform complex data transformation
tasks in Azure Data Factory.
Deployed containerized solutions with Docker and
Azure Kubernetes Service (AKS), boosting scalability
and operational efficiency.
Collaborated on data modeling and integration strategies,
aligning with Azure SQL Database and other cloudnative services.
Maintained version control using Git and Azure Repos,
supporting seamless CI/CD pipelines.
https://www.infolob.com/
Sep 2018 - Feb 2020
Junior Data Engineer – Global Soft Technologies LLC
Contributed to building interactive dashboards that
supported cross-functional decision-making aligned with
Azure-based data ecosystems..
Maintained version control using Git and Azure Repos,
ensuring seamless collaboration and traceability in CI/CD
environments.
Assisted in data cleaning and preprocessing using Azure
Data Factory, supporting senior engineers in building
scalable ETL workflows.
Participated in schema design and data modeling with a
focus on star and snowflake schemas within Azure
Synapse.
Helped integrate third-party APIs and external data
sources using Azure Logic Apps and Data Flows to
enhance reporting capabilities.
http://Globalsoft.com
Mar 2017 – Aug 2018
Project
Developed retail analytics solutions using Azure services (SQL Database, Databricks, Machine Learning, Synapse, Power
BI) to optimize inventory and sales.
Built data pipelines with Spark and SQL, leveraging Azure storage and Data Factory for orchestration. Created predictive
models for demand forecasting and pricing, visualized data with Tableau and Power BI. Developed a real-time analytics
platform with Databricks, Kafka, and PySpark for streaming data ingestion, transformation, and visualization.
Technical Skills
SQL & Database Management:
Advanced SQL, MySQL, PostgreSQL, Azure SQL Database, Azure Cosmos DB, MongoDB,
Cassandra
Programming Languages & Frameworks:
Languages: Python, C#, JavaScript, TypeScript, SQL
Frameworks: .NET Core, ASP.NET MVC, Entity Framework, Angular, Node.js, PySpark
Big Data & ETL Tools:
Apache Hadoop, Apache Spark, Apache Kafka, Apache NiFi, Talend, Informatica, Apache Airflow,
Azure Data Factory, Azure Stream Analytics, Azure Data Lake Analytics
Cloud & Data Warehousing:
Microsoft Azure (Azure Synapse Analytics, Azure SQL Database, Azure Blob Storage), Google
BigQuery, Snowflake
NoSQL & Data Modeling:
MongoDB, Cassandra, DynamoDB, Azure Cosmos DB, Dimensional Modeling, Star Schema,
Snowflake Schema
DevOps & CI/CD:
Docker, Kubernetes, Jenkins, Azure DevOps, GitLab CI/CD
Version Control & Data Visualization:
Git, GitHub, GitLab, Power BI (with Azure integrations), Tableau, Looker
Machine Learning Frameworks:
TensorFlow, PyTorch
