Sai R. Email & Phone Number

United States

• Configure, monitor, and automate Google Cloud Services as well as be involved in deploying the services using Google compute engine and Google storage buckets.
• Worked in a Machine learning operations team that was building a machine learning platform to streamline the ML lifecycle including data capture, analysis, model training, evaluation, and model deployment.
• Involved in designing and building modern data solutions using Google Cloud to support data visualization.
• Experience in GCP DataProc, GCS, Cloud functions, BigQuery Utilizing the current state of production and determining the impact of novel implementation on existing business processes.
• Developed data transition programs from Teradata to Google BigQuery using Google function by creating functions in Python for certain events based on client requirements.
• Involved in building Data pipelines, end-to-end ETL, and ELT processes for Data ingestion and transformation in GCP using an App engine.

Austin, Texas, United States

• Designed and developed a Security Framework to provide fine-grained access to objects in AWS S3 using AWS Lambda, and DynamoDB.
• Set up and worked on Kerberos authentication principals to establish secure network communication on cluster and testing of HDFS, Hive, Pig, and MapReduce to access cluster for new users.
• Performed to-end Architecture & implementation assessment of various AWS services like Amazon EMR, Redshift, S3
• Developed spark applications in Python (PySpark) on a distributed environment to load a huge number of CSV files.
• Created Databricks notebooks using SQL, Python, and automated notebooks using jobs
• Implemented near real-time data pipeline using a framework based on Kafka, and Spark.

Houston, Texas, United States

• Analyzed large amounts of data sets to determine the optimal way to aggregate and report on them using Map Reduce programs.
• Responsible for data services and data movement infrastructures, worked with ETL concepts, building ETL solutions and Data modeling.
• Designed, developed, implemented, and maintained solutions for using Docker, Jenkins, and Git, for microservices and continuous deployment.
• Involved in loading data from rest endpoints to Kafka Producers and transferring the data to Kafka Brokers.
• Worked on Snowflake Schemas and Data Warehousing and processed batch and streaming data load pipeline using Snow Pipe and Matillion from data lake Confidential AWS S3 bucket.
• Involved in creating Hive tables, loading and analyzing data using Hive queries, and writing complex Hive queries to transform the data.

India

• Excellent SQL Server administration skills including Database Creation, Tables, Indexes, and Clusters Creation.
• Evaluated the suitability of Hadoop and its ecosystem for the project and implemented/Validated various proof of concept (POC) applications to eventually adopt them to benefit from the Bigdata Hadoop initiative.
• Estimated the Name Node and Data Node software and hardware requirements and planned the cluster.
• Extracted the needed data from the server into HDFS and bulk-loaded the cleaned data into HBase.
• Designed, implemented, and deployed within the customer’s existing Hadoop, Cassandra cluster for a series of custom parallel algorithms for various customer-defined metrics and unsupervised learning models.
• Using the Spark framework Enhanced and optimized product Spark code to aggregate, group, and run data mining tasks.