Work closely with leadership team in business development by effectivelybuilding strong relationships with clients and identifying opportunities for growth within theclient.Effective project execution of all the projects assigned by Decision Culture & it’s clients.

Client - The Home Depot a) Optimized queries in Google Big Query and Cloud Composer strategies to reduce job runtime by 60%.b) Analyzed and automated tasks to eliminate manual participation, leading to a 20% increase in team productivity.c) Developed data pipelines capable of processing terabytes of data on a daily basis.

Collaborated with cross-functional teams to identify and resolve data-related issues, resulting in a 35%-40% improvement in data accuracy.Developed batch and streaming data pipelines using Google Dataflow and BigQuery for media using python programming language on Google Cloud Platform.Organized and led a Big Data Training program on GCP for a group of 10 client associates.

Developed visualization and dashboards using Tableau for end customers for consolidated view of sales and granular insights.Implemented and improved a monitoring and alerting system to proactively detect and handle failures in an efficient manner

Developed visualization and dashboards using Tableau for end customers for consolidated view of sales and granular insights.Implemented and improved a monitoring and alerting system to proactively detect and handle failures in an efficient manner

a) Involved in Data Modeling and Structuring of Hive Tables for storage and run-time optimization by 30%.b) Possess extensive experience in automating and scheduling workflows to streamline processes and improve overall efficiency.c) Efficiently conducted calls and presented in-person and virtual meetings to facilitate project activities as needed, whether on-site or off-site

Conceptualized, designed and Developed various Big Data Application.Project 1: eCommerce Application Development• Developing Application for eCommerce System using Big data|Hadoop|Spark|Python|Hive• Collecting data from various sources from panellists and ePOS Feeds• Loading data into HDFS from various sources ie (Sqoop data from databases), (Ingesting files) etc. • Storing and Validating the data through SparkSQL/HiveQL.• Transforming data using Spark.• Projecting the sales of data Project 2: Big Data Application Development (Mainframe Data Migration)• Migrating Mainframe data to Hadoop File System using Big data|Hadoop|HDFS|Pig|Hive|Oozie• Processing the data using Pig Script.• Storing and accessing the data through Hive.• Loading the final data into Netezza.Project 3: EDW Hadoop Migration• Migrating data from Teradata to Hadoop File System using Big data|Hadoop|Map Reduce|Pig|Impala|Sqoop• Processing Data using Map Reduce • Loading Historical data into HDFS using Sqoop. • Processing the data through Impala.Project 4: Python FrameworkDeveloped Quippy, a python based framework. The framework facilitates smooth ingestion by providing interfaces to integrate seamlessly with Hive, Pig, SparkSQL, Oracle, MySql and other query languages.It also provides effective Unit testing and functional testing interfaces by integrating with PyTest and pytest-html.Continuous Integration abilities are integrated using JenkinsData profiling/validation abilities are integrated.Ability to run on Cluster and/or locally.Reusable across multiple projects.