Sreeja Reddy Nomula

Detail-oriented and results-driven Data Engineer and Analyst with over 4 years of experience in building and maintaining scalable ETL pipelines using tools like Airflow, Snowflake, and AWS. Skilled in Python and SQL for data transformation, automation, and complex querying, with practical experience in real-time data processing using Kafka and Spark. Proven ability to create insightful and user-friendly dashboards in Tableau and Power BI to support business decisions. Background includes managing financial data systems, performing data validation and migration, and ensuring data accuracy and integrity. Comfortable working in fast-paced, cross-functional environments with tools like JIRA for project tracking and coordination. Holds a Master’s degree in Information Systems and brings strong organizational skills, attention to detail, and a collaborative mindset to every project.

Decentralized Access Management with Anonymous Authentication of Information Stored in Cloud, IJAEMA-The International journal of analytical and experimental modal analysis, https://app.box.com/s/yh9er5sv1zl57as5oo6chjfl1k8kohwr, 0886-9367, Volume 12, Issue 3 - March 2020, 1899-1906

Employee Attrition (Data Analysis) |Excel | Tableau | Data Cleaning  

• Developed an interactive Employee Attrition dashboard to analyze patterns across 1,470 employees, using visualization tools to highlight key attrition drivers such as job satisfaction, work environment, tenure, and marital status.
• Identified actionable insights for HR teams by segmenting attrition data across dimensions like job role, department, gender, and education field, empowering data-driven retention strategies.
• Applied advanced data visualization techniques (heat maps, tree maps, bar charts) to effectively communicate workforce trends, enabling leadership to monitor high-risk attrition zones in real time.
• Enhanced stakeholder decision-making by designing dynamic filters and drill-down capabilities, allowing users to interact with and explore attrition data by gender, department, and job role.

Decentralized Access Management with Anonymous Authentication of Information Stored in Cloud | Cloud Computing 

• Implemented decentralized access control in cloud environments, reducing security incidents and ensuring robust data protection with decentralized key distribution.
• Mitigated security threats, significantly reducing wrapping attacks, malware injection, flooding attacks, and replay attacks.
• Developed advanced security protocols using two-factor authentication and attribute-based encryption to enhance cloud data security and prevent vulnerabilities.

Automatic Smart Gardening System | Internet of Things 

• Designed and implemented an IoT-based smart gardening system using NodeMCU ESP-12E, DHT11, moisture sensors, and servo motors to automate plant watering based on real-time soil moisture levels.
• Integrated the system with IBM Cloud for remote monitoring and control, improving water efficiency and enabling intelligent garden management through cloud-based automation.

• Microsoft Power BI Data Analyst Certification.
• Data Analytics BootCamp Certification.
• Cloud Computing in Red Hat Academy Certification.
• IOT in smart bridge with IBM Cloud Certification.

• Graduate Assistantship at Middle Tennessee State University
• Published research on Cloud Access Management in IJAEMA Journal, showcasing academic contribution and domain knowledge.
• Shortlisted from national-level applicants in FAER – McAfee Scholar Awards for Detection of Harmful Gas to Ensure Safety and Security of Human Life and Property

• Contributor, IJAEMA Journal (Published research in 2020)