Nouman M.

I'm a Data Engineer specializing in building reliable data pipelines, ETL/ELT workflows, API integrations, data warehouses, and automated data infrastructure.

I help businesses turn raw, fragmented data into clean, reliable, and accessible datasets that power analytics, reporting, business intelligence, and operational systems.

WHAT I BUILD
Data Pipelines & ETL/ELT
• End-to-end ETL and ELT data pipelines
• Batch and scheduled data processing
• Data ingestion from APIs, databases, files, and third-party platforms
• Data transformation, cleansing, validation, and normalization
• Automated data synchronization between systems
• Scalable and maintainable data workflows

Data Warehousing & Databases
• Data warehouse and data lake solutions
• PostgreSQL, MySQL, SQL Server, and other relational databases
• BigQuery, Snowflake, and cloud data warehouses
• Database design, schema optimization, and data modeling
• Fact and dimension tables
• Star and snowflake schemas
• SQL development and query optimization

API & Data Integration
• REST API integrations and data extraction
• Webhooks and event-based data ingestion
• Third-party platform integrations
• CRM, ERP, e-commerce, marketing, and operational data integration
• Cross-platform data synchronization
• Automated API data pipelines and scheduled extraction

Data Orchestration & Automation
• Apache Airflow and workflow orchestration
• Scheduled and dependency-based data pipelines
• Error handling, retries, logging, and monitoring
• Automated data processing and reporting workflows
• Pipeline scheduling and operational automation

Data Transformation & Analytics
• Advanced SQL transformations
• Python-based data processing
• Pandas and data manipulation
• Data cleaning and validation
• Aggregations and business logic
• Analytics-ready datasets
• BI and reporting data preparation

Data Quality & Reliability
• Data validation and quality checks
• Duplicate detection and data cleansing
• Pipeline monitoring and failure handling
• Data consistency and integrity checks • Automated testing and validation • Reliable production data workflows