Narendra Bhupal Reddy Chittela
MINNEAPOLIS,MN
Summary
- Highly skilled Data Engineer and Python Developer with over 8 years of experience in designing and optimizing data pipelines, real-time data processing, and cloud-based solutions.
- Demonstrated expertise in utilizing AWS services, including EC2, S3, Lambda, Redshift, DynamoDB, IoT Core, CloudFormation, Sage Maker, and Kinesis, to deliver robust and scalable data engineering solutions.
- Proficient in multiple programming languages such as Python, Bash, and C, with a strong foundation in big data technologies like Apache Spark, Hadoop, and PySpark.
- Proven ability to develop microservice architectures, implement machine learning models, and build real-time monitoring systems.
- Adept at using data visualization tools such as Tableau and Power BI to provide actionable insights.
- Experienced in automation, performance optimization, and ensuring data integrity and availability.
- Known for creating efficient ETL processes, leveraging NLP for information retrieval and sentiment analysis, and employing Infrastructure as Code for consistent and scalable resource provisioning.
- Strong background in collaborating with cross-functional teams to achieve business objectives and enhance operational efficiency.
- Excellent communication skills with a proven track record of effectively leading and mentoring teams, fostering a collaborative environment, and driving project success through clear, strategic guidance and stakeholder engagement.
- Capable of managing multiple projects simultaneously, prioritizing tasks, and meeting tight deadlines. Demonstrates a proactive approach to problem-solving and a commitment to continuous learning and improvement.
Overview
7
7
years of professional experience
Work History
Python Developer
Best Buy
03.2024 - Current
- Optimized Big Data generation and simulation architectures on a Client Cluster Model for Tick as well as time-based data which resulted in quicker task generation and data file formation (more than 40Gbs) from 60 mins to 8 mins
- Contributed in the development a micro service architecture using RabbitMQ resulting in load balanced distributed processing of orderbook and equity data files.
- Programmed a transfer Module used in rapid automated big data file distribution to a cluster of remotes servers. (Bash, Python)
- Developed a testing module and a random testing simulator from square one using parallel processing methodologies which resulted saving significant testing time
- Developed and maintained a docker based environment for ETL processes which resulted in saving 70% of resource usage
- Used NLP in searching and retrieving information more effectively by understanding user queries and matching them with relevant documents or data
- Developed Text-Tokenization and parsing by using NLTK
- Assist in the analysis and development of data architectures for relational databases
- Coding data-comparison and data-filtering scripts in python mainly on csv, excel or DBMS to fetch usable, meaningful insights
- Used NLP for sentiment analysis of news articles or social media data to gauge market trends and made some informed investment decisions
- Designed and built scalable, efficient data-pipelines
Data Engineer
Mindtree
01.2018 - 09.2022
- Built and optimized data pipelines using Python and Spark, enabling the processing of terabytes of data daily.
- Implemented AWS-based data storage solutions, including S3 and DynamoDB, to support the company's data warehousing needs.
- Automated data ingestion from various APIs and internal databases, improving data availability and accuracy for business intelligence teams.
- Conducted performance tuning and optimization of SQL queries and ETL processes, reducing data processing time by 25%.
- Developed data visualization dashboards using Tableau and Power BI to provide actionable insights to stakeholders.
- Built a scalable pipeline capable of handling increased data loads without performance degradation.
- Implemented efficient data storage strategies to minimize costs while maintaining data integrity and availability.
- Utilized AWS CloudFormation to automate the provisioning of all AWS resources, ensuring consistency and scalability.
Education
Master of Science - Information Studies
Trine University
Angola, IN03-2024
Skills
TECHNICAL SKILLS Programming Languages /Libraries/Frameworks: Python, Bash, C, Basics of C, PHP, AWS, Docker, ReactJS, JAVA, PySparks, Bash, HTML, CSS, Bootstrap
Data Stores: MySQL, PostgreSQL, SQLite, MongoDB, HDFS, AWS Glue, Amazon Redshift, DynamoDB, MS-Excel
Tools and Platforms: Postman, Git, Databricks, RabbitMQ, Pandas, NumPy, Matplotlib, Apache Airflow, Apache Kafka, GitHub, Kubernetes, Docker, Linux, Unix, Hadoop, Map Reduce
Domain Knowledge: Modeling, Object Oriented Programming, Design Patterns, Validation, Processing, Machine Learning, Distributed Architectures, Rest-API
Timeline
Python Developer
Best Buy
03.2024 - Current
Data Engineer
Mindtree
01.2018 - 09.2022
Master of Science - Information Studies
Trine University
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