As a seasoned Data Analyst with over 8 years of experience, I specialize in harnessing the power of data to drive actionable insights and strategic decision-making. My career spans multiple industries, where I've successfully implemented data solutions using advanced tools and technologies like Azure, AWS, Power BI, Python, SQL, and various ETL platforms.I have a strong background in data modeling, statistical analysis, and machine learning, with hands-on expertise in designing and deploying scalable data pipelines, predictive models, and data visualizations. My experience extends to developing automated ETL processes, optimizing complex data workflows, and creating interactive dashboards that transform raw data into compelling stories for both technical and non-technical stakeholders.With proficiency in Power BI, Azure Data Factory, AWS Redshift, and Spark, I have built robust solutions that streamline operations, enhance data-driven decision-making, and improve business performance. Whether migrating reports from legacy systems like Tableau and OBIEE, managing big data environments with Hadoop and Spark, or utilizing machine learning algorithms for predictive analytics, I thrive in environments where data complexity and scalability are key.In addition to my technical skills, I’m committed to continuous learning and collaboration within agile teams. I leverage tools like Confluence, Jira, and UML diagrams to maintain seamless communication and documentation, ensuring that projects are completed efficiently and meet business objectives.Passionate about using data to solve real-world problems, I am always excited to take on new challenges and contribute to impactful projects that drive innovation.
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Pega DeveloperAmerican ExpressUnited States
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Senior Data AnalystCitrix Oct 2021 - PresentFort Lauderdale, Florida, United StatesIn my role as a Senior Data Analyst at Citrix, I led the development and implementation of modern data solutions on Azure PaaS services, which significantly enhanced the organization’s ability to visualize and analyze data. By automating operational processes and streamlining ETL solutions, I improved overall efficiency, reducing manual workloads by 30%. I played a key role in designing and publishing interactive Power BI dashboards, providing stakeholders with real-time, actionable insights to support business decision-making. My work with complex SQL queries allowed me to resolve intricate business queries across multiple databases, while my experience with Spark, Hive, and PySpark enabled the creation of high-performance data pipelines that reduced processing times by 25%. Additionally, I oversaw the migration of Tableau reports to Power BI, improving reporting accessibility and consistency across departments. I also implemented Snowflake-based data warehousing solutions, ensuring scalable and reliable data storage and access for the business. I utilized Python for automating data extraction from multiple sources, resulting in the automation of 20+ data sources for continuous reporting. My role required strong cross-functional collaboration, where I effectively communicated data insights through visually appealing infographics and diagrams created with Lucidchart and UML diagrams. -
Data AnalystWellcare Aug 2018 - Sep 2021Tampa, Florida, United StatesAt Wellcare, I was responsible for designing and developing Power BI dashboards and analytical reports that catered to the needs of various business teams, including sales, operations, and finance. This initiative reduced report delivery time by 50%, significantly improving decision-making. I leveraged Hadoop, Spark, and AWS technologies to build and optimize ETL workflows, which streamlined data processing and facilitated the migration of data from multiple sources into a centralized data warehouse. My work with AWS Redshift and Snowflake ensured efficient data retrieval and improved performance by 30%. I also automated various data processing tasks using Python, which reduced manual effort and improved operational efficiency. During my time at Wellcare, I contributed to the successful migration of reporting systems from Tableau to Power BI, enhancing the performance and scalability of our data solutions. I worked closely with stakeholders to create detailed documentation and training materials, ensuring smooth adoption of new tools and processes across the organization. Additionally, I utilized Jira for project management and collaborated with teams to track progress, identify bottlenecks, and ensure the timely delivery of high-quality analytical insights. -
Data AnalystMahindra Home Finance Aug 2016 - Jun 2018Mumbai, Maharashtra, IndiaAt Mahindra Home Finance, I was deeply involved in the management and ingestion of large datasets into Azure services, ensuring streamlined data access for analytics teams. I led the development and optimization of ETL pipelines using Azure Data Factory, which reduced data load times by 35% and streamlined data processing. My work with Python and Spark allowed me to build predictive models and apply data imputation techniques that enhanced data completeness and quality. I also played a key role in visualizing business-critical data using Power BI and Tableau, which provided actionable insights that drove business decisions. By collaborating with cross-functional teams, I ensured that ETL processes were aligned with analytical requirements, improving data extraction efficiency and reducing manual intervention by 40%. I maintained detailed documentation using MS Visio to ensure consistency and accessibility of data processes, and I contributed to the development of training materials that facilitated knowledge sharing across teams. Overall, my contributions helped drive more efficient and data-driven decision-making across the organization. -
Data AnalystMedanta Jun 2015 - Jul 2016Gurugram, Haryana, IndiaAt Medanta, I played a pivotal role in the optimization of data extraction processes by developing stored procedures in MS SQL Server, which resulted in improved reporting times and better system performance. I designed logical and physical data models for integration with AWS Redshift, ensuring data integrity and consistency across the data warehousing environment. My work with SSRS allowed me to create dynamic reporting solutions, providing business units with customized reports that supported strategic decision-making. I was also responsible for conducting ETL testing using SSIS, ensuring the reliability and accuracy of data integrations. Additionally, I led the development of Spark and Hive-based ETL pipelines, improving data ingestion efficiency by 30%. I collaborated with cross-functional teams to ensure that customer and sales data from SAP’s SD Module was processed accurately, resulting in timely and accurate sales reporting. Throughout my tenure, I contributed to improving the organization’s data infrastructure and reporting processes, providing stakeholders with timely, actionable insights to drive business outcomes.
Srini P Education Details
Frequently Asked Questions about Srini P
What company does Srini P work for?
Srini P works for American Express
What is Srini P's role at the current company?
Srini P's current role is Pega Developer.
What schools did Srini P attend?
Srini P attended Kl University.
Who are Srini P's colleagues?
Srini P's colleagues are Nuzul Imran, Karen Anthony, Andrew Kardos, Sapomaa Rodriques, Lourdes Asalde, Ebangha Ebane, Aldrin De Ramos.
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