Ssr Palli Email & Phone Number

Chicago, Il, Us

Richmond, Virginia, United States

● Developed scalable, high-performance ETL data pipelines to transform and ingest data from multiple sources, enhancing data accessibility and analytics capabilities by 30%.● Automated data integration workflows for structured and unstructured data, reducing data processing time by 40%.● Designed and implemented data governance solutions, supporting compliance with Commonwealth Data Trust standards for secure and efficient data sharing.● Enhanced operational analytics by building data tools that provided actionable insights for customer acquisition and operational efficiency.● Collaborated with cross-functional teams to optimize data delivery, significantly improving data integrity and processing speed.● Integrated real-time data pipelines using Apache Kafka, reducing data latency and enhancing response times for critical business functions.● Conducted regular data quality assessments, resolving data inconsistencies and optimizing performance through targeted solutions.● Developed and maintained Power BI reports leveraging advanced DAX and PowerQuery techniques, resulting in a 20%increase in data insights and informed decision-making.● Automated ETL processes using AWS Glue to streamline the processing of daily loan amount data, reducing data processing time by approximately 50% and enhancing the accuracy of financial insights.● Built and orchestrated complex data pipelines using Airflow, automating daily data processing tasks and reducing manual intervention by 2x, leading to enhanced efficiency and proactive issue resolution.● Engineered serverless data pipelines with AWS Lambda, reducing processing latency by 20% compared to batch processing methods, and increasing operational efficiency for real-time data applications.

Richmond, Virginia, United States

● Built a data pipeline using Snowflake and Apache NiFi on Amazon EC2 to automate data ingestion into Amazon S3, reducing manual work by 40% and streamlining the ETL process.● Developed analytics tools to provide actionable insights, contributing to a 20% increase in customer acquisition efficiency.● Streamlined internal processes by implementing AWS Glue and Apache Kafka, automating labor-intensive tasks and reducing manual interventions by 40%.● Partnered with data science teams to design and implement tools for operational efficiency, enhancing business intelligence capabilities.● Spearheaded data governance initiatives, creating frameworks that supported data accuracy and compliance across departments.● Collaborated with cross-functional teams to align technical requirements with business objectives, ensuring effective data solutions.● Regularly evaluated emerging cloud technologies and recommended improvements, supporting innovation and scalability in data infrastructure.● Conducted data analysis using SQL and Python, identifying trends and providing insights that informed business decisions.● Leveraged Snowpipe to automate data loading from S3 into Snowflake Staging Tables, enabling real-time data ingestionand reducing data latency by 30%.● Utilized Snowflake Streams to track changes in the staging table, ensuring real-time data processing and seamless updates to Target Tables for analytics purposes.● Developed and maintained Power BI reports leveraging advanced DAX and PowerQuery techniques, resulting in a 20%increase in data insights and informed decision-making.● Established a high-performing ETL pipeline in Databricks to process terabytes of data daily, facilitating efficient data integration and transformation

Richmond, Virginia, United States

● Led the development of an end-to-end data pipeline using Snowflake and Apache NiFi, achieving real-time data ingestion and reducing latency by 30%.● Designed Power BI dashboards that streamlined data accessibility for stakeholders, enhancing decision-making and data-driven insights.● Used Azure Data Factory and AWS Redshift to create efficient ETL workflows, reducing data processing times and enhancing data warehousing efficiency.● Implemented data governance standards, supporting secure data sharing and compliance with industry regulations.● Automated data quality monitoring processes, minimizing data inconsistencies and ensuring accurate data for analytics.● Engineered solutions for real-time data streaming, leveraging Apache Kafka to support high-frequency updates and improve data responsiveness.● Built data tools that facilitated operational efficiency, contributing to a 25% reduction in manual data processing time.● Collaborated with cross-functional teams on data governance strategies, supporting the effective management of data assets across the organization.

● Developed high-quality data pipelines, integrating large and diverse datasets to support complex analytical projects for global clients. ● Implemented process improvements in ETL workflows, reducing processing times by 25% and enhancing overall data accuracy.● Collaborated closely with data science teams to understand business requirements, enabling the development of targeted data solutions.● Automated data ingestion workflows, decreasing manual interventions by 40% and improving data processing speed.● Conducted data quality checks and validation processes, ensuring data integrity and reliability for downstream analysis.● Built interactive dashboards using Tableau and Power BI, empowering stakeholders with accessible and actionable insights.● Optimized data transformation processes using Python and SQL, reducing processing time for analytical models.● Supported data governance initiatives, ensuring compliance with data protection and privacy standards for all client projects

Bengaluru, Karnataka, India

● Engineered ETL processes to streamline the ingestion and transformation of financial data, reducing manual data processing times by 40%.● Created interactive dashboards using Tableau and Power BI, empowering stakeholders with insights into financial data and performance.● Leveraged Hadoop and Apache Spark to handle large-scale data operations, ensuring efficient processing and analysis of customer data.● Automated data quality monitoring and reporting, improving the accuracy and consistency of data across platforms.● Supported data governance practices, ensuring compliance with regulatory requirements and industry standards.● Designed SQL-based data pipelines for data retrieval, enabling real-time analytics and reporting for decision-makers.● Developed reporting tools that consolidated data across systems, enhancing operational insights and efficiency.● Collaborated with cross-functional teams to translate business needs into technical solutions, supporting long-term project goals.● Optimized data storage and retrieval processes by implementing partitioning and indexing strategies, resulting in a 25% reduction in query execution time.● Conducted regular data audits and integrity checks to ensure data accuracy, resolving discrepancies that improved reporting reliability.