SRAVYA KANTHURI

Dallas,,Tx

Summary

Data Engineer with 7+ years of experience delivering data pipelines, analytics, and reporting solutions across banking, telecom, and healthcare
Strong expertise in SQL, Python, Excel, and data modeling to clean, transform, and analyze large datasets
Hands-on experience with ETL development and data platforms including Snowflake, BigQuery, and Microsoft SQL Server
Proven ability to design dashboards and reports using Power BI, Tableau, and Looker for business decision-making
Experienced in requirements gathering, stakeholder collaboration, and Agile/Scrum delivery
Career-focused on building scalable, high-quality data solutions that drive operational efficiency and business impact
Skilled in building automated workflows, optimizing queries, and improving data quality to reduce manual effort and enhance system reliability
Strong background in translating complex business needs into technical solutions through clear documentation, user stories, and process flows
Adept at working across cross-functional teams to improve data accessibility, streamline reporting, and support data-driven decision-making

Overview

years of professional experience

Work History

Business Analyst

Fifth Third Bank

07.2024 - Current

Led analysis of customer banking behavior using SQL, Python, and Tableau, generating actionable insights that contributed to a 12% increase in digital engagement across the personal banking platform.
Gathered and documented complex business requirements from product owners and stakeholders, creating detailed BRDs, FSDs, and user stories to support development of new digital features.
Created interactive dashboards in Power BI to monitor account activity, fraud alerts, and loan processing trends, enabling real-time executive decision-making across banking operations.
Collaborated with cross-functional teams including risk management, finance, and data engineering, ensuring data availability and alignment of business objectives with technical solutions.
Used JIRA and Confluence to manage Agile deliverables, write clear acceptance criteria, and facilitate sprint planning, retrospectives, and backlog grooming sessions.
Designed and executed SQL queries for ad-hoc reporting, compliance audits, and trend analysis, improving the efficiency of reporting processes for risk and fraud teams.
Participated in UAT (User Acceptance Testing) and wrote test cases to validate data pipelines, ensuring all business rules were accurately implemented and compliant with internal audit standards.
Led root cause analysis on failed credit applications using Excel pivot tables, Python pandas, and SQL, reducing loan processing time by 15% through workflow optimizations.
Supported development of KPI frameworks for tracking customer service effectiveness, presenting insights to executive leadership through PowerPoint dashboards and embedded Power BI visuals.
Facilitated workshops with business units to define data reporting needs, streamline manual Excel reports, and migrate reports to automated, scalable BI dashboards.
Created visual process maps using Lucidchart to depict end-to-end data flow from source systems to analytics platforms, supporting data lineage and governance initiatives.
Wrote advanced SQL scripts to identify duplicate transactions and reconcile financial records, contributing to successful internal audits and compliance with SOX controls.
Delivered weekly data reports and insights to executive leadership, communicating complex analysis results in a clear, non-technical format to support business strategy and decision-making.
Collaborated with fraud prevention teams to build predictive models in Python, using scikit-learn to identify anomalies in transaction data and proactively reduce fraud exposure.

Data Engineer

Cencora – Pharmaceutical & Healthcare Analytics

12.2020 - 08.2023

Developed interactive dashboards in Power BI and Tableau to track pharmaceutical sales, clinical trial progress, and supply chain KPIs, enabling real-time business decisions.
Conducted advanced statistical analyses using Python and R to forecast drug demand, identify trends, and drive data-driven strategies.
Designed and maintained ETL pipelines with SSIS, Azure Data Factory, and Python, integrating multiple data sources for accurate, comprehensive reporting.
Optimized Snowflake data models and SQL queries, enhancing performance on millions of records and accelerating report generation.
Automated reporting workflows, reducing manual effort by 40%, ensuring timely delivery of KPI dashboards and analytics.
Built predictive models to anticipate drug demand, inventory needs, and clinical resource allocation, improving supply chain planning and minimizing stockouts.
Conducted ad-hoc analyses on sales, operations, and market trends, providing actionable insights to optimize performance.
Implemented data validation, reconciliation, and governance processes, maintaining high-quality, compliant healthcare data.
Created visual analytics for clinical trials, monitoring patient enrollment, outcomes, and operational efficiency for trial managers and regulatory teams.
Mentored junior analysts in SQL, Python, Tableau, and Power BI, enhancing team productivity and analytics capabilities.
Collaborated with cross-functional teams including business analysts, finance, and operations to gather requirements, validate metrics, and deliver actionable insights.
Monitored and troubleshooted Azure Data Factory ETL pipelines, ensuring high availability and reliability of healthcare datasets.
Designed KPIs and dashboards for supply chain performance, highlighting inventory levels, supplier efficiency, and shipment timelines to optimize operations.
Applied predictive and prescriptive analytics techniques (regression, clustering) to anticipate market shifts and demand fluctuations.

Data & Business Analyst

Vodafone

06.2018 - 12.2020

Leveraged SQL, Python (Pandas, NumPy), and Excel to analyze massive telecom datasets, uncovering usage patterns that guided customer retention, engagement, and upselling strategies.
Engineered and maintained interactive Power BI dashboards for churn prediction, prepaid recharge behavior, and postpaid billing insights, enabling executives to make data-driven decisions in real-time.
Partnered with business and product teams to define requirements, translating them into BRDs, FSDs, and data mapping frameworks, ensuring alignment with Vodafone’s internal data ecosystem.
Architected and optimized data marts, SQL views, and ETL pipelines using SQL Server, Oracle, and Informatica, improving reporting efficiency and data reliability.
Conducted ad-hoc analyses and predictive modeling to evaluate campaign effectiveness, uncover operational bottlenecks, and forecast telecom usage trends.
Developed microservices and RESTful APIs using NodeJS and WSO2, delivering scalable, reusable, and testable services tailored to client requirements.
Optimized MongoDB databases for high performance and front-end responsiveness, seamlessly integrating with analytics and application layers.
Automated testing and deployment workflows using Postman and Jenkins, streamlining CI/CD processes and accelerating feature delivery.
Migrated legacy Excel reports into centralized, dynamic dashboards, improving reporting speed, accessibility, and stakeholder engagement.
Designed and implemented role-based security and row-level access in Power BI, safeguarding sensitive customer data while maintaining usability.

Education

Master of Science - Information Systems

The University of Texas At Arlington

Texas

Skills

Data analytics and querying: SQL, PL/SQL, T-SQL, Python (Pandas, NumPy, Matplotlib), Excel (Pivot tables, VLOOKUP, Macros)
Business intelligence and visualization: Power BI, Tableau, Looker, Excel dashboards, DAX, Power Query
Data warehousing and ETL: Snowflake, BigQuery, SQL Server, Oracle, Informatica
Tools and platforms: JIRA, Confluence, ServiceNow, Microsoft Teams

Project management methodologies: Agile (Scrum, Kanban), Waterfall
Reporting and documentation: PowerPoint, Word
Compliance and data governance: HIPAA, GDPR

Accomplishments

Software Delivery Excellence Recognition - Accenture Jan 2023
Awarded “Best Employee” for outstanding performance, consistent delivery, and contribution to high-impact projects.

Timeline