Sharmistha Sahu

• Designed, developed, and maintained robust data pipelines to facilitate the seamless flow of information within the organization, ensured data quality and reliability through comprehensive data validation and error-handling mechanisms
• Managed Azure Data Lake Storage to optimize data processing time and facilitate the daily processing of substantial data volumes and implemented robust data access controls and encryption measures, ensuring a high data availability rate and compliance with data security standards

<p>Designed, developed, and maintained robust data pipelines to facilitate the seamless flow of information within the organization<br>
Ensured data quality and reliability through comprehensive data validation and error-handling mechanisms<br>
Managed Azure Data Lake Storage to optimize data processing time and facilitate the daily processing of substantial data volumes<br>
Implemented robust data access controls and encryption measures<br>
Ensured a high data availability rate and compliance with data security standards<br>
Orchestrated the development of sophisticated Extract, Transform, Load (ETL) processes<br>
Demonstrated a keen understanding of data engineering principles<br>
Through meticulous design and implementation, achieved a substantial improvement in data integration efficiency<br>
Utilized Azure Databricks to develop and deploy advanced data analytics solutions<br>
Leveraged Apache Spark for data processing<br>
Resulted in reduction of processing time for large datasets<br>
Adopted scalable data pipelines, enabling the efficient analysis of petabytes of data for actionable insights<br>
Initiated Azure Data Factory to automate data integration and transformation<br>
Reduced data processing time<br>
Implemented robust data monitoring and alerting for enhanced reliability<br>
Collaborated cross-functionally to deliver timely, error-free data solutions<br>
Improving operational efficiency and enabling data-driven decisions<br>
Optimized Azure Blob Storage for scalable and secure data storage solutions<br>
Implemented data lifecycle management policies<br>
Reducing storage costs<br>
Ensured data availability<br>
Established data quality standards and implemented data governance processes<br>
Improvement in data accuracy with teams to streamline data storage and retrieval processes<br>
Enhancing overall data management efficiency<br>
Evaluated complex mapping and transformation processes through data migration<br>
Data accuracy rate post-migration closely with stakeholders to define migration objectives<br>
Minimize downtime<br>
Meet project deadlines<br>
Facilitating a smooth transition and preserving data integrity<br>
Improved data accessibility by implementing data warehouse optimizations<br>
Reduction in report generation time<br>
Collaborated with data scientists and analysts to understand business requirements and optimize data processes</p>

<p>Designed scalable and cost-effective data architectures on Microsoft Azure<br>
Leveraging services such as Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage<br>
Orchestrated data pipelines in Azure Data Factory<br>
Achieving improvement in ETL efficiency and reducing data processing costs<br>
Monitored solutions to result in reduction in incident response time and ensuring pipeline reliability<br>
Led the design and implementation of data warehousing solutions on Azure Synapse Analytics<br>
Improvement in query performance and reduction in data loading times<br>
Achieved optimal resource utilization, contributing to a reduction in overall data processing costs<br>
Managed data storage and retrieval in Azure Data Lake Storage<br>
Enhancing data access speed and significantly improving overall query performance<br>
Implemented effective data partitioning strategies<br>
Contributing to a reduction in storage costs<br>
Initiated the deployment and optimization of Azure Synapse Analytics (formerly Azure SQL Data Warehouse)<br>
Improving query response times and reducing data warehouse processing costs by implementing data compression strategies<br>
Leading to a reduction in storage consumption and contributing to enhanced overall system efficiency<br>
Developed and optimized data storage in Azure Blob Storage<br>
Implementing lifecycle management policies and efficient data practices<br>
Achieved high availability rates<br>
Ensuring reliable data accessibility for critical applications<br>
Streamlined ETL processes<br>
Significantly reducing data processing time and improving overall data transformation efficiency and quality checks<br>
This led to a notable decrease in post-release defects<br>
Ensuring high-quality data integration<br>
Implemented big data solutions on Azure, utilizing services such as Azure Databricks and HDInsight to enhance data processing speed and reduce resource utilization<br>
This optimization contributes to cost efficiency and overall improvements in big data analytics capabilities<br>
Executed complex data migration projects<br>
Ensuring seamless transition of data between systems<br>
Meticulous data validation<br>
Minimizing downtime<br>
Resulting in successful data migrations with minimal disruption to business operations</p>

<p>Implemented Agile methodologies<br>
Enhancing project delivery efficiency with increased sprint velocity and a notable reduction in time-to-market for software releases<br>
Demonstrated proficiency in requirements analysis<br>
Leading to a reduction in project scope changes and improved accuracy in initial project estimations<br>
This contribution positively impacted project planning and successful execution<br>
Developed the system design phase<br>
Optimizing architecture to achieve improved application scalability<br>
This was evident in increased user load capacity and a reduction in system response times<br>
Demonstrated coding expertise<br>
Consistently delivering high-quality code through successful code reviews<br>
Contributing to a reduction in post-release defects<br>
Showcase a commitment to reliable software development<br>
Drove comprehensive testing initiatives to increase test coverage and decrease post-release defects<br>
Ensured the delivery of robust and high-quality software solutions<br>
Led efficient deployment processes to maintain a high system uptime and reduce deployment-related incidents<br>
Ensuring seamless operation and minimizing disruptions for end-users<br>
Coordinated cross-functional collaboration efforts<br>
Significantly boosting team productivity<br>
Received outstanding ratings in team satisfaction surveys<br>
Highlighting successful teamwork and fostering positive working relationships</p>