Hey all, I'm

Shwetha Sivakumar Data Engineer Data Analyst

Associate Data EngineerIQZ Systems, Atlanta, GA | Aug 2025 - Present

• Built and maintained enterprise Denodo data virtualization layer integrating 400K+ daily records from Amazon Redshift, SQL Server, Databricks, and MongoDB for a passenger rail network, enabling unified analytics across ridership, revenue, and operational performance.

• Designed and optimized Denodo base, derived, and summary views, applying cached views with scheduled refreshes (daily, monthly, yearly), cost-based optimization, and query tuning to improve Power BI dashboard load times by 30%.

• Developed Power BI dashboards consuming Denodo views for revenue, ridership, route performance, and ticket journey analytics; automated metadata propagation by modifying TMDL (.SemanticModel) files.

• Implemented RBAC and global security policies across Denodo and Power BI, managing multiple user roles and enabling GitHub-based version control for Fabric workspaces to support secure and reproducible BI development.

Software DeveloperMyUI.AI (Clemson University), Clemson, SC | Aug 2024 - Dec 2024

• Built scalable PySpark pipelines on AWS S3 to process 75K monthly accessibility sessions for a B2B mobile/kiosk application, powering reinforcement learning models generating personalized UI adaptations for users with visual, motor, and cognitive impairments.

• Designed incremental data processing and partitioned data models (by event date and impairment type) enabling efficient trend analysis across accessibility metrics using Spark window functions.

• Optimized downstream analytics and model-training workloads via partition pruning, reducing feature read times by 40%.

• Orchestrated end-to-end Spark workflows using Apache Airflow, ensuring reliable daily execution, reproducibility, and backfill support.

Data EngineerBPM BI, Tallahassee, FL | Jun 2024 - Aug 2024

• Built end-to-end Informatica IICS ETL pipelines ingesting 500K+ GPS, GTFS, and fare records daily into Snowflake.

• Engineered transformations in Informatica Mapping Designer, calculating route-level delay metrics and operational KPIs for 200+ transit routes; embedded data quality checks reducing reporting errors by 25%.

• Automated near real-time and batch orchestration with Taskflows, ensuring data availability within 5 minutes of ingestion.

• Enabled Power BI dashboards providing actionable insights on route delays, ridership trends, and revenue metrics.

Data EngineerCaterpillar Inc., India | Jan 2023 - Jun 2023

• Designed 15+ real-time operational dashboards in Azure Data Explorer (ADX) to visualize telemetry from 500+ autonomous haul trucks, providing fleet health, utilization, and data quality insights.

• Built IoT telemetry ingestion pipelines into ADX by defining table schemas and JSON ingestion mappings to structure high-frequency GPS and operational data at scale.

• Developed data transformations using ADX update policies to convert epoch timestamps, normalize vehicle identifiers, and derive operational states; created materialized views that pre-aggregated metrics and improved dashboard performance by 40%.

• Implemented ingestion monitoring using KQL queries and Azure Monitor alert rules to detect missing or delayed telemetry, ensuring pipeline reliability.

Machine Learning InternC3iHub, Indian Institute of Technology, Kanpur, India | May 2022 - Jul 2022

• Led a team of 3 to develop a cyber-attack detection system using ensemble and deep learning models, achieving 97% accuracy in classifying normal traffic, automated attacks, and manual intrusions.

• Built robust data preprocessing pipelines using Python and regex to parse Apache web logs into structured pandas DataFrames for threat analysis.

• Conducted global cyber-attack pattern analysis across 87 countries using protocol analysis, attack categorization, and subnet tracking.

• Implemented XGBoost and LSTM/GRU neural networks for feature engineering, model training, and evaluation; visualized insights using seaborn and Plotly.

Master of Science in Computer and Information SciencesClemson University, USA

Coursework: Deep Learning in Computer Vision, Applied Data Science, Cloud Computing, Statistics

Bachelor of Technology in Computer Science EngineeringAmrita University, India

Coursework: Data Structures and Algorithms, Operating Systems, Computer Networks, Computer Architecture