Maaz Ahmed

About Maaz Ahmed

Technology solving real work problems- time and again we witness this. After spending more than 10 years in the industry, I am proud to be part of the team that transforms the world and makes our lives better.Every phase have given me an opportunity to learn and take ownership.I am currently working as a Lead Data Engineer with experience in designing, building, deploying and scaling of enterprise grade Data ecosystems. I have worked on both on-premises and cloud systems, with extensive experience on Azure and AWS. My previous works include creating Data Lake, creating Data Pipelines, Customer Data Management and Prompt Engineering on Gen AI model, I have led and contributed to projects on development of data pipelines on cloud, migration of traditional database to Hadoop and API developmentMy current project is to build a data platform at global scale for German Financial Firm. We are building data lake and data warehouses to enable the firm for future use cases around data around BI, AI and ML topics. Technologies used such as Azure Synapse, Data vault 2.0, Spark notebooks, Delta Lake, SAP on azure etc. My role is to guide the team of junior developers and design the solutions for the requirements.My previous work include the project - Medical Device Labeling using Prompt Engineering for US Pharma Firm. The project was to train and assess Generative AI(Gen AI) models through prompt engineering for use cases around medical device labeling. We implemented Retrieval Augmented Generation(RAG) using Langchain during the exercise. This included developing user interface using Python Flask and creating of APIs for each use case. ChromaDB was used as vector store. Besides this, we even used Azure AI search as vector store.Skills Highlight:Microsoft Azure, Data vault 2.0, Spark, Python, Hive, Java. Apache Airflow (Basics), Docker, Apache Phoenix, Generative AI, Open AI, Amazon AWSCertifications:Databricks Accredited Generative AI FundamentalsAWS Certified Data Analytics SpecialistDatabricks Certified Associate Developer for Apache Spark 3.0Microsoft Certified Azure Data EngineerAstronomer Certification for Apache Airflow FundamentalsNeo4j Certified Professional

Experience

1. Manager

   KPMG

   Oct 2025 — Present

Education

• HKBK Group of Institutions

  Bachelor of Engineering - BE, Computer Science

  2010 — 2014

Skills

• Hadoop
• Apache Spark
• Big Data Analytics
• Python
• Java
• Xml
• Sqoop
• C
• Sql
• Hbase
• Apache Phoenix