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Mahesh Goswami

@maheshgoswami

Data Engineer at Infosys who automated business-critical reporting workflows, reducing manual operations by 80%.

At Infosys, I designed and maintained ETL/ELT and data ingestion pipelines connecting SQL Server, ADLS, and Databricks. I also developed PySpark notebooks with Delta Lake for data transformation and analytical workloads.

I automated business-critical reporting workflows, reducing manual operations by 80%. I built workflow orchestration with dependency handling, error handling, and logging, and implemented monitoring to support data quality and issue resolution.

At Quosphere Infosolutions, I designed QlikView and Qlik Sense dashboards and QVD-based data layers for financial reporting. I also automated report generation and delivery using NPrinting.

At Eureka D-Soft Pvt Ltd, I developed SQL procedures, triggers, and packages for government applications, and designed relational schemas and indexing strategies. I also optimized queries and supported data validation and production troubleshooting.

Experience

Work history, roles, and key accomplishments

BI Developer

Quosphere Infosolutions

Designed enterprise dashboards in QlikView/Qlik Sense and developed QVD-based data layers for financial reporting. Developed and optimized ETL loads and data transformation workflows supporting reporting across ABG businesses.

Qlikview Qlik Sense QVDs ETL data transformation Data Modeling Qlik BIツール Reporting Data Validation

Technology Analyst

Infosys

Designed and maintained end-to-end ETL/ELT and data ingestion pipelines in Azure Data Factory integrating SQL Server, ADLS, and Databricks. Developed PySpark notebooks with Delta Lake for scalable data transformation and analytical workloads.

Azure Data Factory SSIS Databricks PySpark SQL Server ADLS Delta Lake ETL ELT Data Ingestion data transformation Batch Processing Data Validation Performance Optimization Workflow Automation Data Modeling Production Troubleshooting

Database Developer

Eureka D-Soft Pvt Ltd

Developed complex SQL stored procedures, triggers, and packages for large government applications. Designed relational database schemas with normalization and implemented indexing strategies for transactional workloads.