Tejavardhan R. Email & Phone Number

United States

Atlanta, Georgia, United States

As I led the development and enhancement of data processing pipelines using Python, ensuring streamlined data manipulation and statistical analysis. I managed PostgreSQL databases, integrating various data sources through SQL Alchemy and a unified analytics platform. I built RESTful APIs using FastAPI and orchestrated data workflows with automated CI/CD pipelines. My responsibilities encompassed executing SQL queries for data analysis and optimizing data warehousing solutions using Informatica and Snowflake. Additionally, I designed and implemented real-time data ingestion strategies and developed ETL processes for efficient data management and integration, including leveraging Unix for script automation and system management. I also contributed to optimizing computing clusters and deploying applications in containerized environments, while automating infrastructure management and implementing machine learning models to drive data insights and model interpretability.

San Francisco, California, United States

Here, I played a pivotal role in developing and optimizing big data solutions using PySpark, managing relational databases, and implementing data integration solutions with PyODBC. I designed and maintained API services, orchestrated data workflows using an open-source workflow scheduler, and managed CI/CD pipelines for continuous integration and deployment. Utilizing a scalable data warehouse, I performed advanced data analytics and optimized database configurations for high availability. My contributions included integrating real-time data streams, managing data streaming processes, and designing efficient ETL pipelines. I also operated big data environments, deployed containerized applications using a container orchestration platform, automated infrastructure management, implemented machine learning models, and managed various services to ensure secure and efficient infrastructure operations.

St Louis, Missouri, United States

Here, I developed and refined data processing scripts using Python, managed SQL databases with a focus on optimization, and implemented robust data integration workflows using PyODBC. I designed RESTful APIs using Flask for seamless data access, orchestrated data workflows efficiently, and set up CI/CD pipelines for automated software delivery. Utilizing visualization tools, I created interactive reports to facilitate data-driven insights and managed large-scale data operations. I also built serverless applications to handle data processing tasks, managed real-time data streams, and led the development of ETL processes for efficient data movement and transformation. Additionally, I optimized big data processing techniques, deployed applications using container technologies, automated infrastructure management, developed predictive models, and ensured the efficient operation of IT resources for data storage and computing.

Chicago, Illinois, United States

Here my work involved in optimized big data processing jobs using PySpark, designed and maintained SQL Server databases, and built scalable APIs with Django. I leveraged Looker for creating interactive dashboards, managed Google BigQuery data warehouses, and implemented real-time data integration with Google Pub/Sub and Apache Kafka. My role involved developing ETL processes with Google Cloud Dataflow, utilizing Databricks for advanced analytics, and deploying machine learning models with Google Vertex AI. I automated Google Cloud infrastructure with GCP Terraform, managed deployments with Docker, and streamlined development workflows with GitHub. Additionally, I oversaw various Google Cloud services and utilized open-source technologies to enhance big data frameworks, supporting strategic decision-making across the enterprise.

Monroe, Louisiana, United States

Here, I utilized Python, Pandas, and NumPy to collect, preprocess, and ensure the accuracy of telecommunication data. I employed Python scripts, Excel, and SQL queries to clean data, manage missing values, and prepare datasets for analysis, while managing relational databases like MySQL using SQL for efficient data storage and retrieval. I developed interactive visualizations with Tableau to highlight key metrics and trends, and conducted statistical analysis using Scikit-Learn, Excel, and R. Additionally, I generated detailed analytical reports using Microsoft Word and Google Docs, collaborated with business stakeholders to provide data-driven insights, mastered SAS and Google Analytics, engaged in continuous learning through platforms like Udemy, and worked with cross-functional teams to support project goals and improve data governance. I implemented data security measures to protect sensitive information, ensuring compliance with legal and regulatory standards.