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Lakshmi Guttikonda
Senior Azure Data Engineer @Ally
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WORK HISTORY
Senior Azure Data Engineer @Ally
Detroit, MI, US
As a Data Engineer at Ally Bank, I specialize in managing the entire Software Development Life Cycle (SDLC) from requirement gathering to application deployment, with a strong focus on Python for data handling. I have introduced and implemented advanced data management practices using Azure\'s PaaS solutions such as Azure Data Factory, Data Lake Analytics, and Azure Databricks, ensuring compliance and data integrity.Key achievements include:Developing real-time data analysis using Confluent Kafka for event streaming and Azure SQL Data Warehouse for enhanced visualization.Building extensive data warehouses and efficient ETL pathways using Azure Data Factory and Python, optimizing data structures and processes.Utilizing PySpark and Spark SQL for data analysis, and integrating DBT with CI/CD pipelines to automate deployment and testing of data models.Orchestrating complex data workflows with Apache Airflow and SSIS, and employing Apache NiFi for efficient data capture and transformation.Designing and developing ETL workflows using Informatica PowerCenter, transforming and loading large volumes of data from various source systems into data warehouses.Architecting secure and scalable data solutions, integrating Kafka with Python to process real-time data streams.Developing CI/CD pipelines with Jenkins and Bitbucket, automating deployment processes for increased efficiency.Enhancing reporting capabilities through optimized SSRS reports and Python scripts, improving data accessibility and supporting decision-making.Implementing robust audit frameworks using Python to ensure data reliability, security, and compliance with regulatory standards.I excel in creating and maintaining robust data architectures, leveraging tools like Jenkins, Bitbucket, and SSRS for source code management, deployment automation, and reporting, ensuring a seamless and secure flow of data across various platforms.
EDUCATION
Gandhi Institute of Technology and Management (GITAM)
Bachelor of Technology - BTech
ABOUT LAKSHMI GUTTIKONDA
As a seasoned Data Engineer with over 9 years of experience, I specialize in delivering innovative, data-driven solutions across major cloud platforms like AWS, Azure, and GCP. My expertise lies in leveraging advanced Python programming to drive complex data analysis, machine learning, and predictive modeling, utilizing libraries such as Pandas, NumPy, and Scikit-Learn. In addition to my proficiency in Python, I am skilled in cloud computing, adept at deploying scalable applications using AWS Lambda, Azure Functions, and GCP Cloud Functions. My background in data modeling and database management encompasses both SQL and NoSQL systems, including MySQL, PostgreSQL, MongoDB, and Cassandra. I also have a deep understanding of Agile and Scrum methodologies, particularly in Python development environments, and I am experienced in CI/CD practices with tools like Jenkins, Docker, and Bitbucket. My technical repertoire includes integrating Python with big data technologies such as Apache Spark (PySpark), Hadoop, and Kafka, enabling efficient data processing and analytics. I am well-versed in developing secure APIs, Python-based web development using frameworks like Django and Flask, and leveraging Python for machine learning tasks. My work in Python-based microservices architecture, asynchronous programming, and cloud-native application development underscores my commitment to creating high-performance, scalable solutions. Through my contributions to open-source projects and involvement in the Python community, I continually stay abreast of best practices and emerging trends in the field.
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