Nazim is a Lead Data Engineer with 8+ years of experience in architecting and optimizing data solutions on AWS and Azure. He has a proven track record in end-to-end data migration projects and implementing scalable ETL pipelines.
Led a large-scale data migration project for telecom network data to AWS.
Designed and implemented a customer insights platform for an e-commerce client.
Developed a sentiment analysis platform for social media engagement metrics.
Built automated ETL pipelines using AWS Glue and Azure Data Factory.
Led On-Premises to Cloud Data Migration — large-scale telecom client network data migration to AWS + automated ETL pipelines with AWS Glue + enhanced data availability/scalability as Senior Data Engineer
Built Customer Insights + Recommendation Engine — e-commerce client + Azure Data Factory + Databricks ETL pipelines + customer behavior + engagement boost
Built Sentiment Analysis & Engagement Metrics — social media data analytics + AWS Glue + Lambda automated pipelines + actionable insights for content optimization as Data Cloud Engineer
Overview: Led a large-scale data migration project for a telecom client, transitioning network data from on-premises infrastructure to AWS. Responsibilities: Built automated ETL pipelines with AWS Glue for extracting, transforming, and loading data to S3. Employed AWS DMS to facilitate secure and seamless data transfer, ensuring compliance and integrity.
Key outcomes:
Successfully migrated telecom network data from on-premises to AWS.
Enhanced data availability, scalability, and analytics.
Overview: Designed a customer insights platform and recommendation engine for an e-commerce client aimed at driving user engagement and boosting conversion rates. Responsibilities: Established ETL pipelines with Azure Data Factory and Databricks, integrating customer behavior data into a centralized data lake.
Key outcomes:
Designed a recommendation engine for an e-commerce client.
Overview: Developed a data processing and analytics platform to analyze social media sentiment and engagement. Responsibilities: Created an automated pipeline with AWS Glue and Lambda for processing social media data and extracting user sentiment using NLP models.
Key outcomes:
Developed a platform for social media sentiment and engagement analysis.
Nazim
Data Analyst - Migration & System Consolidation