Likitha Reddy Email and Phone Number

- Developed scalable Spark frameworks in Scala, boosting analyst productivity by 30%.- Integrated analytics into fraud detection systems, reducing deployment time by 25%.- Enhanced time-series processing with AWS Glue, improving pipeline efficiency by 40%.- Managed Hadoop systems, handling over 10 TB of customer data.- Implemented Agile methodologies, increasing project delivery speed by 20%.- Built a Snowflake platform with 800+ tables, optimizing batch processing for 5,000+ users.- Ensured 99.9% data accuracy in Snowflake by resolving quality issues.- Designed data flows that reduced processing time by 15%.- Optimized resource allocation, increasing throughput by 35%.- Developed machine learning models for fraud detection, improving accuracy by 20%.- Improved processing times by 50% by addressing small file issues in Big Data.- Configured Spark for better resource management, enhancing performance by 30%.- Created REST APIs for microservices, decreasing integration time by 40%.- Used Python for automation, increasing deployment frequency by 25%.- Established a reliable Hadoop HDFS infrastructure with 99.5% uptime.- Reduced software bugs by 15% through OOP practices in multiple languages.- Updated fraud prevention systems, enhancing detection by 30%.- Strengthened data security, improving compliance by 40%.- Migrated systems from Teradata to Spark SQL, tripling performance.- Ensured 98% data integrity with QA data generated from Databricks.- Configured Apache Arrow for 25% faster processing in Scala Spark 2.3.- Automated cluster management, cutting manual tasks by 60%.- Streamlined Jupyter Notebook deployments with pip-installable packages.- Built CI/CD pipelines, reducing lead time for fraud cases by 30%.- Enhanced security compliance by 50% with a custom credential provider.- Achieved a 95% project success rate by resolving performance issues

Managed the SDLC for data projects, achieving 100% on-time delivery.Engineered ETL workflows in Python/SQL, integrating data from 10+ sources.Developed RESTful APIs, improving data access speed by 40%.Maintained MongoDB with sharding for 99.9% data availability.Created dashboards that increased user engagement by 30%.Automated workflows with Ansible, reducing manual tasks by 50%.Implemented test-driven development, cutting bugs by 25%.Managed CI/CD pipelines, speeding up deployments by 30%.Optimized data retrieval with Redis and RabbitMQ, enhancing performance by 35%.Developed real-time monitoring apps, providing immediate insights.

Conducted data analysis that improved strategic outcomes by 25%.Developed dashboards in Tableau and Power BI for 10+ key stakeholders.Analyzed data with SQL, delivering insights that shaped business strategy.Created ETL workflows using SSIS and Azure Data Factory, ensuring 100% success.Implemented data quality procedures, boosting reporting accuracy by 30%.Used Python and R for predictive analytics, guiding business decisions.Automated data processing with Python, increasing efficiency by 40%.Collaborated with teams to translate requirements into data solutions.Performed exploratory data analysis to uncover impactful trends.Developed documentation for reporting processes, enhancing consistency.Presented findings to senior management, providing actionable insights.Managed data migration, ensuring 100% integrity from legacy systems.Utilized GitHub for version control, promoting project collaboration.Applied data mining techniques to support marketing and operations.Ensured compliance with data governance regulations for sensitive information.