Jithendra Yenugula Email & Phone Number

Hyderabad, In

Bengaluru, Karnataka, India

Key contributor in architecting end-to-end AWS infrastructures, strategically selecting services to optimize data warehousing and ETL solutions for diverse client projectsLed the development of end-to-end ETL solutions, utilizing AWS Glue, to seamlessly migrate data from MongoDB into S3 Data Lake and Amazon Redshift, enabling reporting in Power BI.Designed and implemented ETL pipelines for monthly migration from diverse government sources, crafted SQL queries for transforming raw data, and collaborated with data scientist on a multivariate time-series forecasting model, worked on feature engineering and selection | Python, SQL, AWS, Glue, Lambda, RDS PostgreSQLSignificantly contributed to elevating the company's AWS partnership tier by conducting AWS Well-Architected reviews for numerous clients

Bengaluru, Karnataka, India

Designed & Developed a comprehensive end-to-end DWH + ETL + BI solution for 6 distinct SBUs within a multinational Logistics company | AWS, Python, SQL, Redshift, Glue, LambdaLed a team of 2 junior data engineers for development of automated ETL workflows for an EdTech company | AWS, Python, Aurora PostgreSQL, Redshift, Glue, PySparkDeveloped data transformation pipelines to dynamically transform raw Salesforce data into insightful data for powering 8 different dashboards consisting of 30+ sales KPIs | Azure, T-SQL, PythonEnhanced overall system efficiency by fine-tuning backend data models and SQL queries, resulting in optimized performance for both the database and frontend application | SQL, AWS, RDS MySQL, PHP

Bengaluru, Karnataka, India

Assisted a data scientist in developing a hybrid forecasting model leveraging ML algorithms and statistical models in order to predict the sales for one of the largest Tiles producers in Sri Lanka | Python, SQL, statsmodels, time-series forecasting, machine learningReported Ad-hoc insights to stakeholders using Tableau

Uttar Pradesh, India

Performed Literature survey on early detection of Autism in toddlers. Worked on Autism Detection application using Image Processing and Machine Learning techniques. Worked on POCs on various new domains of machine learning like Transfer Learning.