I am a Senior Data Engineer with 7+ years of experience designing and operating enterprise database and analytics platforms. My background spans data engineering, database architecture, and cloud data warehousing, with a strong focus on building scalable data pipelines and high-availability database systems.
I work across the full data lifecycle — ingestion, transformation, storage, and analytics — enabling organizations to turn operational data into reliable insights.
Core Experience
- 7+ years working with PostgreSQL and SQL Server in production environments
- Database architecture, performance tuning, and query optimization
- High availability design, replication, and disaster recovery strategies
- Cross-platform database migrations (SQL Server / MySQL → PostgreSQL)
- Backup, recovery, monitoring, and database security implementation
- Schema design, indexing strategies, and large scale data modeling
Data Engineering & Analytics
- Building ETL / ELT pipelines using Python, Databricks, and Azure Data Factory
- Developing analytics pipelines with Delta Lake and Apache Spark
- Working with Microsoft Fabric Lakehouse architecture
- Data ingestion, transformation, and orchestration pipelines
- Integrating data into Google BigQuery and Power BI for reporting
- Data validation, cleansing, and transformation using Python (Pandas / NumPy)
Previous Development Experience
Before moving fully into data engineering, I worked as a Full Stack Developer, building enterprise web applications using .NET MVC, JavaScript, HTML, and CSS, which gives me strong understanding of how applications interact with databases.
Currently expanding expertise in modern data platforms, distributed analytics systems, and scalable data architectures.
Databases
PostgreSQL • SQL Server • MongoDB • Snowflake • Amazon Redshift
Data Engineering
Python • Apache Spark • Databricks • Azure Data Factory • Microsoft Fabric • Apache Airflow
Analytics & BI
Power BI • Google BigQuery • Data Modeling • Data Warehousing
Development
.NET MVC • JavaScript • HTML • CSS
LinkedIn
https://linkedin.com/in/imranimtiaz1
Email
mailto:emraan.imtiaz48@gmail.com
GitHub
https://github.com/imran-imtiaz48
Good data systems should be reliable, observable, and scalable.
I focus on building data platforms where data quality, performance, and recoverability are first-class concerns, not afterthoughts.