ATTAUHEED SULAIMAN
Bangalore
Summary
Dynamic data analyst with a proven track record at Deloitte, specializing in Azure Data Factory and Databricks. Expert in optimizing ETL pipelines and ensuring data integrity. Adept at collaborating with cross-functional teams to deliver scalable solutions, enhancing data quality and reliability. Strong analytical skills combined with a commitment to excellence drive successful project outcomes.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Analyst
Deloitte
Bangalore
06.2025 - Current
- Led end-to-end migration of customer and case data from Pega Systems to Salesforce, ensuring data integrity, consistency, and completeness across all stages of migration.
- Performed detailed source-to-target data analysis across multiple systems including Pega, CACS, and other enterprise sources, identifying transformation rules, dependencies, and data gaps.
- Designed and developed Databricks notebooks using PySpark to process, transform, and validate large datasets efficiently.
- Built dynamic, parameterized Databricks notebooks to handle multiple entities, enabling reusable, modular, and scalable pipeline design.
- Implemented scalable ETL/ELT workflows using Azure Data Factory (ADF) to orchestrate data movement from on-premise and cloud-based systems into Azure Data Lake.
- Integrated ADF pipelines with Databricks notebooks, ensuring seamless orchestration, monitoring, and error handling.
- Conducted data profiling, cleansing, and transformation using PySpark, improving data quality prior to Salesforce ingestion.
- Collaborated closely with business users, CRM teams, and stakeholders to validate migration logic, reconcile data, and resolve data discrepancies.
- Performed data reconciliation and post-load validation between source systems and Salesforce to ensure accuracy and completeness.
- Supported Salesforce data readiness by aligning transformed data with CRM data models and business rules.
- Assisted in UAT and pre-production testing, analysing defects, and resolving data-related issues during migration cycles.
Senior Software Engineer - Data Analytics
Visionet Systems
Bangalore
09.2022 - 06.2025
- Designed, developed, and maintained complex ETL/ELT pipelines using Azure Data Factory, Databricks, and Delta Lake, ensuring high data quality, accuracy, and reliability across transformation and integration stages.
- Optimized data pipelines for performance, scalability, and cost efficiency by applying partitioning, caching, broadcast joins, and cluster resource tuning in Databricks.
- Built and managed automated pipeline scheduling and triggers in Azure Data Factory to enable reliable, timely, and repeatable data processing across environments.
- Developed robust, end-to-end data pipelines integrating data from Azure Data Lake Storage (ADLS), Azure SQL Database, and other cloud-based sources.
- Created and maintained Databricks notebooks using PySpark for large-scale data transformations, including data cleansing, hashing, enrichment, and validation.
- Implemented Slowly Changing Dimension (SCD) Type 2 logic to track historical changes while maintaining current state records.
- Designed and executed incremental load and full refresh strategies, efficiently processing large datasets with minimal latency.
- Handled schema evolution and source system changes by dynamically adapting pipelines and ensuring backward compatibility.
- Applied data validation, reconciliation, and error-handling mechanisms to ensure data consistency and reduce pipeline failures.
- Collaborated with cross-functional teams to understand business requirements and translate them into scalable data engineering solutions.
Education
Bachelor of Technology - Computer Science
Presidency University
Bangalore, Karnataka, India06-2022
Skills
- Python
- SQL
- Azure Synapse
- Synapse
- Databricks
- Power BI
- AWS
- Pyspark
- Airflow
- Microsoft Fabric
- Azure Data factory
Certification
- Microsoft Certified - Azure Data Engineer Associate (DP-203)
- Databricks Lakehouse Fundamentals by Databricks
Timeline
Analyst
Deloitte
06.2025 - Current
Senior Software Engineer - Data Analytics
Visionet Systems
09.2022 - 06.2025
Bachelor of Technology - Computer Science
Presidency University