Bharath M Email & Phone Number

United States

United States

• Proficient in data extraction, transformation, and loading (ETL) processes.• Skilled in SQL querying for data retrieval and manipulation.• Developed data quality frameworks and methodologies to assess, monitor, and improve data quality.• Established data quality metrics and KPIs to measure the accuracy, completeness, and consistency of data.• Implemented data quality checks and validation rules in ETL pipelines to prevent data anomalies and errors.• Designed and… Show more • Proficient in data extraction, transformation, and loading (ETL) processes.• Skilled in SQL querying for data retrieval and manipulation.• Developed data quality frameworks and methodologies to assess, monitor, and improve data quality.• Established data quality metrics and KPIs to measure the accuracy, completeness, and consistency of data.• Implemented data quality checks and validation rules in ETL pipelines to prevent data anomalies and errors.• Designed and implemented Azure-based data solutions, including data lakes, data warehouses, and streaming analytics pipelines.• Deployed and managed Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics. Show less

United States

• Spearheaded a greenfield data transformation project within the Salesforce environment, under the direction of the CIO, focusing on best-in-class data engineering practices.• Implemented and optimized Delta Live Tables within Databricks environment to enable real-time data processing and analysis, enhancing operational efficiency and decision-making capabilities.• Collaborated with cross-functional teams to design and deploy Delta Live Tables solutions, providing technical expertise… Show more • Spearheaded a greenfield data transformation project within the Salesforce environment, under the direction of the CIO, focusing on best-in-class data engineering practices.• Implemented and optimized Delta Live Tables within Databricks environment to enable real-time data processing and analysis, enhancing operational efficiency and decision-making capabilities.• Collaborated with cross-functional teams to design and deploy Delta Live Tables solutions, providing technical expertise and support to maximize the value of real-time data analytics within the organization.• Utilized Tableau, PowerBI, and AWS Quicksight to create, publish, and manage reports and data visualizations for stakeholders.• Applied best practices in building and preparing data for analytics, including data prep and semantic data modeling.• Developed and optimized data queries and applications using Python, PLSQL, and other database technologies.• Identified business rules for data extraction and assessed functional or technical risks related to data sources, such as data latency and frequency.• Conducted test cases for profiling data, validating analysis, and driving data quality assessment specifications.• Contributed to defining a path to deployment for data-related projects.• Implemented best practices for data ingestion and data design to ensure efficient data management processes.• Led the development and implementation of data integration and ETL/ELT processes, leveraging strong SQL skills and expertise in data movement to ensure seamless data sourcing and transformation within Salesforce or CRM systems.• Demonstrated proficiency in Salesforce data movement techniques, including ETL and ELT methodologies, to extract, transform, and load data effectively.• Applied knowledge of warehouse and analytical data models to design and implement robust data pipelines that support business intelligence and reporting requirements. Show less

United States

• Spearheaded and executed the migration of large on-premises legacy data, often exceeding 5 TB, to Azure cloud databases using Azure Data Factory.• Conducted meticulous planning, execution, and optimization of the migration process, ensuring minimal downtime and maximum efficiency.• Collaborated with cross-functional teams to define and analyze data requirements specific to the migration project.• Designed and implemented scalable data pipelines using technologies like PySpark… Show more • Spearheaded and executed the migration of large on-premises legacy data, often exceeding 5 TB, to Azure cloud databases using Azure Data Factory.• Conducted meticulous planning, execution, and optimization of the migration process, ensuring minimal downtime and maximum efficiency.• Collaborated with cross-functional teams to define and analyze data requirements specific to the migration project.• Designed and implemented scalable data pipelines using technologies like PySpark, Hadoop, and Apache Kafka tailored for the migration initiative.• Orchestrated ETL workflows within IBM Infosphere/Websphere DataStage, Ascential DataStage, focusing on seamless data transformation and processing during the migration phase.• Developed and implemented ETL (Extract, Transform, Load) processes customized for acquiring, cleaning, and integrating data from diverse sources, including clinical trials, electronic health records, and genomics data.• Utilized SQL and NoSQL databases like Oracle and MongoDB for efficient storage and retrieval of migrated data. Show less

Greater Bengaluru Area

• Developed and maintained Python-based applications and tools for data processing, analysis, and visualization.• Worked with Apache Spark to perform distributed computing tasks and manipulate large datasets.• Utilized Hadoop ecosystem tools such as HDFS, YARN, and MapReduce to process and store data at scale.• Integrated Kafka messaging system with Python applications to enable real-time data streaming and processing.• Implemented data quality checks and validation procedures… Show more • Developed and maintained Python-based applications and tools for data processing, analysis, and visualization.• Worked with Apache Spark to perform distributed computing tasks and manipulate large datasets.• Utilized Hadoop ecosystem tools such as HDFS, YARN, and MapReduce to process and store data at scale.• Integrated Kafka messaging system with Python applications to enable real-time data streaming and processing.• Implemented data quality checks and validation procedures within Informatica workflows, coupled with custom Python scripts, to ensure data accuracy, integrity, and consistency throughout the ETL pipeline. Show less

India

• Developed and maintained Python-based applications and tools for data processing, analysis, and visualization.• Worked with Apache Spark to perform distributed computing tasks and manipulate large datasets.• Utilized Hadoop ecosystem tools such as HDFS, YARN, and MapReduce to process and store data at scale.• Integrated Kafka messaging system with Python applications to enable real-time data streaming and processing.• Implemented data quality checks and validation procedures… Show more • Developed and maintained Python-based applications and tools for data processing, analysis, and visualization.• Worked with Apache Spark to perform distributed computing tasks and manipulate large datasets.• Utilized Hadoop ecosystem tools such as HDFS, YARN, and MapReduce to process and store data at scale.• Integrated Kafka messaging system with Python applications to enable real-time data streaming and processing.• Implemented data quality checks and validation procedures within Informatica workflows, coupled with custom Python scripts, to ensure data accuracy, integrity, and consistency throughout the ETL pipeline.• Conducted performance tuning and optimization of Informatica mappings, workflows, and sessions to enhance data processing speeds, utilizing Python scripts for profiling and analyzing data flow bottlenecks.• Built and optimized Hive queries for efficient data retrieval and analysis Show less