Hari Krishna Jarabani Email & Phone Number

Charlotte, Nc, Us

Charlotte, North Carolina, United States

Architect and manage data pipelines to extract, transform, and load (ETL) data from multiple sources such as APIs, AWS Redshift, and SFTP into BigQuery, ensuring data accuracy and timeliness.Serve as a subject matter expert for Google Analytics 4, Google Ads, Facebook Ads, and Looker, integrating marketing and advertising data to generate actionable insights for decision-making.Develop and automate ETL processes using Python and GCP tools to streamline the flow of raw data into BigQuery for reporting and analysis.Design and maintain data visualization dashboards in Looker Studio and Tableau, delivering insights to Senior Advertising Managers on marketing performance, ad spend optimization, and conversion rates.Collaborate with cross-functional teams including financial analysts, IT, and Senior Advertising Managers to align data solutions with organizational goals, enabling data-driven decision-making.Lead efforts in ensuring data quality by implementing validation techniques, feature engineering, and handling large-scale datasets across distributed computing environments.Act as a liaison between the operational support team and Senior Advertising Managers, supporting trend analysis and pacing to optimize advertising strategies and campaign performance.

Collaborate with the data engineering team to develop and maintain data pipelines using Apache Spark,Hadoop, Hive, and HDFS, ensuring efficient processing and transformation of large-scale datasets.• Gain practical experience in implementing data engineering solutions using programming languages such asPython or Java, supporting data analysis and machine learning tasks under the guidance of senior dataengineers.• Designed and developed 90% of interactive Tableau dashboards to effectively communicate key insights tostakeholders and enhance decision-making.• Assisted in 80% of database administration tasks and data maintenance activities, contributing to theavailability and integrity of critical datasets.• Gain hands-on experience with cloud services like AWS and Azure, assisting in the deployment andmanagement of data infrastructure in the cloud.• Learn and apply machine learning techniques such as Artificial Neural Networks (ANN) and K-NearestNeighbors (KNN) for data analysis, predictive modeling, and risk analytics under the guidance of senior dataengineers.• Participate in Agile development practices, contributing to data engineering projects and collaborating withcross-functional teams to deliver data-driven solutions.

India

Implemented deep learning algorithms such as Artificial Neural Network (ANN) and Recurrent NeuralNetwork (RNN), tuned hyper-parameters, and improved models with Python packages TensorFlow.• Created multiple custom SQL queries in Teradata SQL Workbench to prepare the right data sets for Tableaudashboards.• Queries involved retrieving data from multiple tables using various join conditions that enabled efficientoptimization of data extracts for Tableau workbooks.• Create visualizations and reports using Tableau, resulting in a 20% improvement in decision-making time.• Participated in all phases of data mining, data collection, data cleaning, developing models, validation,visualization, and performed gap analysis.• Performed a reverse mapping exercise in Informatica to identify and analyze the source and target ofvarious fields in Oracle DB and understand their business transformations.• Monitor and analyze website traffic, resulting in a 15% increase in user engagement.• Developed SQL queries to fetch complex data from different tables in remote databases using joins,database links, and Bulk collects.• Build and maintain predictive models using machine learning algorithms, resulting in a 30% improvementin forecasting accuracy.• Executed SQL queries to access and analyze data from the relational database for data modeling andreporting.• Created several types of data visualizations using Python and Tableau.• Implemented new statistical or other mathematical methodologies as needed for specific models/analyses.• Conducted data validation and quality assurance processes on Oracle databases, ensuring accuracy,completeness, and consistency of data through data profiling, data validation checks, and datareconciliation.

Master'S Degree, Computer Science, A

During my Master’s program, I gained a solid foundation in computer science theory and practical applications, with a focus on data.

Bachelor Of Technology - Btech, Computer Science, A