Yaswanth B Email & Phone Number

New York, Ny, Us

Washington, Dc, Us

Topeka, Kansas, United States

I am proficient in managing and optimizing data platforms across Azure, Hadoop, and NoSQL ecosystems. I have successfully migrated SQL databases to Azure Data Lake, Azure SQL Database, and Azure Data Bricks, utilizing these tools for scalable storage, data organization, and real-time analytics. My expertise also extends to handling data with MongoDB, Cassandra, and Hadoop, where I developed robust data integration programs and collaborated on complex MapReduce jobs.I have effectively used Apache Spark with both Python and Scala to build and maintain data pipelines, automated ETL processes with Apache Airflow, and optimized performance for large-scale datasets. I also designed and implemented real-time data processing pipelines using Apache Flink and Azure Stream Analytics, ensuring actionable insights and efficient data flow.My skills in data governance and security includes automating governance processes with Informatica Axon and implemented security measures for NoSQL databases. I am proficient in data visualization with Tableau, creating insightful reports and dashboards. I have also integrated version control with Git and enhanced project management efficiency through automation and documentation tools.

Overland Park, Kansas, United States

I have effectively utilized a variety of AWS services, including Redshift, S3, and Glue, to streamline data integration and storage. I have managed ETL pipelines using AWS Lambda and EMR for large-scale data transformations and migrations. I also leveraged Informatica Cloud Services for efficient data loading and reconciliation, ensuring data accuracy and consistency across multiple systems.I have demonstrated expertise with Apache Spark and PySpark, employed these tools for advanced data analysis and feature extraction. I also optimized Spark jobs for performance, utilized PySpark for large-scale data transformation, and conducted in-depth analysis with Spark SQL. I worked with Hadoop ecosystems, including Hive and HBase, to handle complex data queries and storage needs.My capabilities also extend to data warehousing and visualization, with significant experience using Snowflake for efficient data loading and querying. I have developed and implemented data pipelines and visualizations in Tableau, tailoring solutions to meet business requirements. I managed metadata, configured Git hooks for automation, and handled real-time data streaming with Kafka and Flume.

Gurgaon Rural, Haryana, India

I have honed my skills in designing and executing robust ETL processes across diverse data environments. I was able to leverage Azure Data Factory, Spark SQL, and T-SQL to efficiently manage data ingestion and migration, ensuring seamless integration into Azure Databricks and other platforms. By implementing complex Informatica mappings and transformations, I have significantly enhanced data accuracy and consistency, driving improved decision-making and operational efficiency.I was able to get proficient in Python and SQL for data manipulation and predictive modeling. I have successfully utilized Python Pandas for dataset analysis and SciPy for developing regression models, complementing my work with SQL and PL/SQL scripts for comprehensive data extraction and testing. Migrating data from SQL Server to Hadoop and performing ETL operations has solidified my expertise in handling large-scale data processing and optimization.I have effectively utilized Spark for both batch and real-time data processing, optimized performance with Spark Context and YARN. My work with Kafka for real-time data streaming and integration with HDFS has enabled timely and actionable insights. I have developed interactive dashboards in Power BI, ensuring data-driven decision-making through real-time reporting. My commitment to managing version control with Git ensured smooth project integration and modularity.

Gurugram, Haryana, India

I specialized in building robust data pipelines and managed complex ETL processes. I developed a data pipeline package that transfers data from AWS S3 buckets to MySQL databases, automated data processes with stored procedures, and leveraged Hadoop tools like MapReduce, Hive, and Pig for efficient data transformation and storage. I have successfully deployed and configured AWS services such as EC2 and RDS to ensure high availability and fault tolerance.I excelled in data analysis and visualization. I used Python libraries such as Pandas and NumPy for in-depth data analysis and created compelling visualizations with Seaborn and Matplotlib to support data-driven decision-making. I was able to get proficient in R for statistical analysis and SAS for macro development and data presentation. I utilized tools like Power BI and Excel to design interactive dashboards and perform complex data manipulations, ensuring that stakeholders have access to actionable insights.My approach to data management is underscored by a commitment to data governance and security, as demonstrated through my management of AWS S3 buckets and adherence to industry standards. I became skilled in optimizing data models for performance and scalability, which enhanced the efficiency of reporting and data visualization. My diverse experience across various data platforms and tools equipped me to handle complex data challenges which helped me to deliver impactful solutions.