PRANAVI REDDY LAKKADI
+1-475-***-**** ********.*******@*****.***
Professional Summary
Data professional with 3+ years of experience designing and deploying scalable data pipelines and delivering actionable insights to drive strategic decision-making. Proficient in Python, SQL, and a wide range of big data technologies, with a proven ability to enhance data accuracy, streamline processes, and support business intelligence initiatives. Adept at collaborating with cross-functional teams to implement innovative solutions that boost operational efficiency and foster data-driven growth. AWS Certified Solutions Architect with a strong foundation in cloud infrastructure and analytics.
Skills
Programming & Scripting: Python, SQL, PL/SQL, R
Libraries/Frameworks: Pandas, Polars, NumPy, Matplotlib, Seaborn, TensorFlow, PyArrow
Databases: MySQL, PostgreSQL, SQL Server, Oracle, DynamoDB, MongoDB, Cassandra, Snowflake
Big Data & ETL Tools: Apache Airflow, Apache Kafka, Apache Spark, Informatica, Hadoop, Hive, ETL/ELT
Data Visualization & Analytics: Power BI, Tableau, Looker, Advanced Excel, DAX, SPSS
Cloud Platforms: GCP, Microsoft Azure, AWS, Snowflake
DevOps & CI/CD: Docker, Kubernetes, Jenkins, Liquibase
Data Management: SSIS, SSRS, SSAS, Data Quality and Governance, Data Warehousing, Data Lineage, Data Transformation, Data Mining
Project Management & Version Control: Agile, Jira, Confluence, Git, GitHub, Bitbucket, GitLab
Work Experience
Data Engineer August 2024 – Present
DaVita Kidney Care
Built an AI pipeline to automate the end-to-end processing of survey form processing, reducing manual workload by 80% and accelerating turnaround time for healthcare reporting.
Developed custom connectors for extracting, transforming, and indexing data from six different data sources into Glean AI to enable efficient enterprise search and chat capabilities.
Automated data pipelines using GCP (Pub/Sub, GCS, GKE, Cloud Run, Cloud Scheduler, Secret Manager, BigQuery) to ensure real-time indexing and reduce manual intervention.
Developed automated data validation scripts in Python, ensuring reliable data accuracy throughout the pipeline for enhanced decision-making processes.
Communicating data issues to appropriate stakeholders and developing action plans to resolve those issues or make appropriate pipeline updates.
Enabled consistent deployments using Docker and Jenkins, ensuring modularity and traceability in production environments.
Pursued a Master’s in Data Science, building on practical experience with advanced knowledge in analytics, machine learning and big data.
Data Analyst August 2020 – August 2022
Tata Consultancy Services Ltd.
Extracted, cleaned and analyzed large-scale datasets using SQL and Python to generate actionable insights that supported strategic business decision-making.
Designed interactive dashboards in Power BI and Tableau to visualize KPIs, trends and metrics, enhancing data storytelling and stakeholder engagement across departments.
Built and managed automated ETL workflows in Azure Data Factory to integrate and process high-volume structured and unstructured datasets from multiple sources.
Created SQL-based transformation logic and developed staging and serving layers in PostgreSQL to support downstream analytics, dashboards and reporting.
Automated recurring reports with SQL and Excel, saving ~5 hours per week and ensuring more reliable reporting for stakeholders.
Collaborated with cross-functional teams to identify data trends and patterns, providing recommendations that improved operational efficiency.
Certifications
AWS Certified Solutions Architect – Associate, AWS September 2024 – September 2027
Introduction to Programming using Python, Microsoft September 7,2020 – No expiration
Education
Master of Science in Data Science August 2022 – May 2024
Wichita State University, CGPA: 3.9/4.0
Bachelor of Technology in Computer Science and Engineering July 2017 – July 2021
Jawaharlal Nehru Technological University Hyderabad, CGPA: 7.64/10.00