Balasubramanyam Nitturi Email & Phone Number

Fremont, Ca, Us

Fremont, Ca, Us

Scottsdale, Az

I developed collaborative analytics solutions utilizing Python and Pandas, enhancing data-driven decision-making processes and managed real-time data streaming architectures with Apache Kafka, optimizing the responsiveness of financial data processing. Orchestrated the deployment and management of data pipelines on AWS EMR, enhancing scalability and performance. Leveraged Airflow and Databricks to construct and maintain robust ETL workflows across diverse financial datasets. Implemented large-scale data storage solutions using AWS S3 and Snowflake, improving data accessibility and efficiency. Automated data transformation processes within AWS Glue, streamlining data integration and enhancing reliability. Utilized SQL for complex data querying, ensuring accurate and timely data retrieval for analysis. Deployed collaborative analytics projects with DBT, improving team productivity and project deliverables. Integrated MongoDB for document-oriented database solutions, optimizing data storage and retrieval operations. Engineered complex ETL pipelines using Snowflake, streamlining data transformations and consolidations. Automated routine data operations with AWS Glue, reducing manual efforts and improving process accuracy. Created and maintained scalable and efficient data models using Python, enhancing analytical capabilities. Optimized and maintained data integration processes using DBT, ensuring consistency and quality of data.

San Francisco, California, United States

I have successfully designed and deployed ETL workflows integrating Apache NiFi and Informatica to support wealth management services. I have configured AWS S3 buckets for secure and scalable data storage, managed high-throughput NoSQL data with AWS DynamoDB, and developed machine learning pipelines using PyTorch for predictive analytics. I implemented real-time data visualization tools with AWS QuickSight for dynamic financial reporting and orchestrated automation of data pipeline deployments using Terraform, improving infrastructure as code practices. Leveraging Docker containers, AWS Glue, and Informatica, I streamlined data integration, transformation, and project deployments. I have also developed financial reporting solutions using Tableau, enhanced project management with Jira, and implemented agile methodologies to accelerate project delivery. My expertise in version control, automation, and real-time business intelligence has enabled me to create efficient, scalable, and secure data solutions for the financial industry.

Brentwood, Tennessee, United States

I have architected and maintained large-scale data processing frameworks using Apache Hadoop and Apache Spark to enhance data analytics capabilities. I managed health data lakes with Azure Data Lake Storage (ADLS), ensuring secure and scalable data storage, and automated data pipeline operations using Apache Kafka and Azure Data Factory (ADF) to improve data flow and system reliability. My experience includes developing Azure-based databases with Azure SQL Database, configuring Azure Cosmos DB for document storage, and engineering ETL processes with Talend for streamlined data integration. I have implemented robust data warehousing solutions using Azure SQL Data Warehouse and orchestrated infrastructure management with Terraform, enhancing cloud resource provisioning. Additionally, I have leveraged Docker containers for consistent application environments and Python for automation scripts and machine learning models, improving efficiency and predictive analytics in healthcare. I am proficient in SQL for complex queries and healthcare analytics, and have optimized data ingestion, transformation, and storage processes across Azure environments while maintaining compliance and data security. My expertise in CI/CD pipelines using Jenkins has further streamlined deployment processes and system resilience.

Pune, Maharashtra, India

I have developed Python scripts for complex ETL workflows, automating and enhancing data processing operations. I utilized SSIS for efficient data integration and transformation process, while managing Amazon Redshift and MySQL databases to optimize data warehousing and ensure robust storage solutions. I implemented Apache Airflow to orchestrate and automate data pipelines, improving operational efficiency, and leveraged Git for version control, fostering collaboration across development teams. My expertise includes developing ETL pipelines using PySpark for processing diverse file formats and automating data transformations with Python, streamlining data management. I have utilized Jenkins for continuous integration and deployment, ensuring data integrity and reliability. Additionally, I have applied SQL to build sophisticated queries for accurate data extraction and reporting. My experience spans optimizing data retrieval and processing with Redshift and MySQL, designing large-scale data pipelines with Airflow, and automating deployment processes using Jenkins, resulting in improved system efficiency and reduced manual intervention.

Hyderabad, Telangana, India

I have implemented Oracle Database solutions to optimize data storage, retrieval, and management processes. I developed and fine-tuned PL/SQL scripts for advanced data manipulation and reporting, while managing data integration projects using Informatica PowerCenter to ensure data consistency and quality. I configured Apache Kafka for real-time data ingestion, enhancing data flow and processing speeds, and utilized Jenkins and Docker to automate continuous integration and deployment processes. My expertise also includes leveraging R programming for data analysis and visualization, creating insightful tools with Tableau to support strategic decision-making. I have optimized SQL queries to improve database performance, engineered efficient ETL processes with Informatica PowerCenter, and implemented robust real-time data ingestion frameworks with Apache Kafka. Additionally, I have utilized Docker to manage containerized applications, automated development tasks with Jenkins, and developed analytic models with R and Tableau, all contributing to data-driven decision-making and operational efficiency.

Master'S Degree, Engineering/Industrial Management, A

The comprehensive curriculum that encompasses various subjects crucial for effective management in engineering and industrial settings. I.

Bachelor'S Degree, Mechanical Engineering, 65

Industrial Management, Thermodynamics, Production Technology, Heat transfer, Automobile Engineering, Applied Thermodynamics, Design.