Rithvik Illandula
AI Data Analyst • United States • i***************@gmail.com • +19******878 • linkedin.com/••••• • drivetube.ai/•••••
Professional Summary
AI Data Analyst with 5+ years of experience specializing in SQL, Python, ETL/ELT, Databricks, Power BI, and cloud data platforms. Engineered enterprise analytics workflows processing 50M+ records, delivering automated data pipelines, governed analytical datasets, and interactive reporting solutions across financial, operational, and institutional environments. Combines data engineering, analytics, and AI-assisted workflows to improve data quality, accelerate reporting, and support data-driven business decisions.
Technical Skills
Programming Language: Python,R,SQL,JavaScript
Backend Technologies: Express.js,Node.js
Databases: Snowflake,Amazon Redshift,Google BigQuery,PostgreSQL,MySQL
Cloud Platforms: AWS Glue,Microsoft Azure,Amazon Web Services
Version Control & Development Tools: Git
DevOps & Infrastructure: GitHub Actions
API & Integrations: RESTful APIs
Data Engineering & Processing: PySpark,Spark SQL,Apache Airflow,Apache Spark,Azure Databricks
Data Analysis & Visualization: Power BI,Tableau,Microsoft Excel,DAX,Power Query,Pandas,NumPy
AI/ML Frameworks & Libraries: scikit-learn,LightGBM,XGBoost,MLflow
Data Integration & ETL: dbt,Azure Data Factory
Project Management & Collaboration: Jira,Confluence
Work Experience
University at Buffalo
Buffalo, NY
AI Data Analyst
Feb 2025 – May 2026
Public research university; supported institutional reporting, KPI tracking and audit needs by developing BI dashboards and data pipelines for senior administrators.
Tech Stack: SQL, Python, Power BI, AI-Assisted Analytics
- Integrated student registration, engagement, service, and event data from 4 university source systems using SQL, producing analytical datasets that supported 8+ academic and operational dashboards.
- Automated recurring data preparation and reporting workflows with Python, reducing manual reporting effort by approximately 80% and accelerating reporting cycles.
- Audited academic and operational datasets for missing records, duplicates, schema inconsistencies, timestamp errors, and source-to-target discrepancies, strengthening data accuracy for downstream reporting.
- Defined standardized KPIs and performance metrics from university program requirements, aligning analytical outputs with academic and administrative reporting needs.
- Engineered interactive Power BI dashboards to analyze student engagement, registration activity, service utilization, and program performance, enabling faster identification of operational trends.
- Applied AI-assisted analytics to investigate anomalies, analyze trends, and generate technical documentation, reducing time required for recurring analytical tasks.
Deloitte
Hyderabad, India
Data Analytics Engineer
Jan 2022 – Dec 2024
Global consulting firm; engineered analytics solutions for enterprise clients, unifying data and automating pipelines to enhance operational and financial reporting accuracy and speed.
Tech Stack: SQL, Databricks, ETL/ELT, Cloud Storage, Relational Databases, Data Warehouses, Python, Power BI
- Engineered SQL-based analytical workflows across 50M+ records from enterprise source systems, generating reusable datasets for finance, operations, customer, and performance reporting.
- Architected ETL/ELT pipelines across Databricks, cloud storage, relational platforms, and data warehouses, standardizing transformation logic across 8 source inputs and 22 downstream datasets.
- Accelerated monthly-close processing by restructuring SQL joins, aggregations, and transformation logic, reducing a critical workload from 45+ minutes to under 3 minutes.
- Automated manual data preparation and reporting processes with Python, eliminating repetitive analyst handoffs and saving approximately 8–10 hours of manual effort per week.
- Developed Power BI dashboards for financial, operational, and performance analysis, converting warehouse data into drill-down reporting for business performance monitoring.
- Enforced data validation and reconciliation controls covering completeness, uniqueness, schema integrity, business rules, and source-to-target accuracy, reducing manual review effort by approximately 80%.
WAFU Technologies
India
Software Engineer
Dec 2020 – Aug 2021
Software technology company; developed database-driven applications and API integrations, automating data workflows and strengthening application reporting, data accessibility, and operational efficiency.
Tech Stack: SQL, PostgreSQL, Node.js, Express.js, JavaScript, RESTful APIs, Power BI
- Orchestrated SQL-driven data workflows across PostgreSQL application and business data, producing reusable reporting datasets and reducing recurring reporting time from 4.2 hours to 38 minutes through streamlined data processing.
- Engineered RESTful API integrations using Node.js and Express.js, automating application-data extraction and transformation workflows and reducing manual dataset preparation by 68% across recurring reporting processes.
- Tuned PostgreSQL queries, extraction logic, and reporting processes by refining database operations and execution patterns, increasing data refresh performance and reducing repeated data-extract requests by 41%.
- Diagnosed application-data discrepancies by tracing database records, API responses, and transformation logic, resolving reporting inconsistencies and improving the accuracy of business-facing application data.
- Automated database integration processes using JavaScript and SQL, streamlining application-to-database data exchange and accelerating recurring data retrieval workflows for reporting requirements.
- Mapped business reporting requirements to Power BI datasets and reporting views, establishing standardized operational metrics and enabling consistent analysis of application and business performance.
Education
University at Buffalo
Master of Science in Computer Science • Buffalo, NY • Jan 2025 – May 2026
Certifications
Azure Databricks Data Engineer Associate (DP-750) — Microsoft
Fabric Data Engineer Associate (DP-700) — Microsoft
Fabric Analytics Engineer Associate (DP-600) — Microsoft
Power BI Data Analyst Associate (PL-300) — Microsoft
Tableau Desktop Specialist — Tableau
AWS Certified Cloud Practitioner — Amazon Web Services
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