Data Engineer Analyst

SAITEJA JOGINIPELLY

Boca Raton, FL 561-***-**** ******************@*****.*** linkedin.com/in/saiteja-joginipelly PROFESSIONAL SUMMARY

Data Engineer & Analyst with 3+ years of experience in financial services and healthcare, building scalable pipelines, predictive models, and compliance dashboards. Skilled across cloud platforms, data modeling, and visualization with a strong track record of improving reporting accuracy, enabling real-time insights, and supporting regulatory requirements. Known for adaptability, clear communication, and delivering measurable business value in cross-functional teams.

TECHNICAL SKILLS

• Languages & Analytics: SQL, Python (Pandas, PySpark, Scikit-learn), R, Bash

• Cloud & Data Platforms: AWS (S3, Glue, Redshift, EMR, Lambda), Snowflake/Snowpark, Databricks, Azure Data Factory

• Pipelines & Orchestration: Airflow, CI/CD, Docker, Kubernetes, Terraform, Git

• Big Data & Streaming: Spark (batch/real-time), Kafka, data lakes & warehouses

• Modeling & Warehousing: Dimensional modeling, relational & NoSQL databases, ER modeling

• Visualization & BI: Tableau, Power BI, Looker, Excel (Power Query, PivotTables, VBA)

• ML & Statistics: Predictive modeling, clustering, churn analysis, hypothesis testing

• Core Strengths: Critical thinking, storytelling, stakeholder communication, compliance awareness

PROFESSIONAL EXPERIENCE

Data Engineer Inland Empire Health Plan – Tampa, FL Jan 2025 – Present

• Designed dimension and fact tables for a Member Condition Mart, improving ICD-10/HCC diagnosis tracking and enabling personalized healthcare analytics.

• Built logic to fill evaluation gaps with proxy records, increasing accuracy of reporting and boosting PMPM revenue.

• Enhanced eligibility tracking with retrospective updates, ensuring real-time accuracy of coverage and condition status.

• Automated workflows with Snowflake/Snowpark tasks, streams, and alerts, reducing manual overhead.

• Developed Snowpark-based data quality checks to monitor nulls, regressions, and anomalies in membership data.

• Presented analytics and findings to executives, influencing strategic healthcare initiatives. Data Analyst Lloyds Bank – Hyderabad, India Jan 2021 – Jun 2023

• Analyzed customer transaction patterns and segmentation data to support marketing campaigns for 2M+ retail customers.

• Produced daily, weekly, and monthly BI reports for branch operations and customer service teams.

• Built predictive models for customer churn, enabling targeted retention strategies that saved

$2M annually.

• Performed statistical analysis on loan portfolios, identifying default trends across customer segments.

• Automated reconciliation processes for core banking systems to ensure integrity across multiple databases.

• Supported digital banking initiatives by analyzing mobile app usage and user experience metrics.

• Collaborated on compliance projects including KYC and AML reporting requirements. PROJECTS

Credit Card Fraud Detection System Nov 2023 – Jan 2024

• Developed a Python-based ML model (Random Forest, Scikit-learn) on a 100K+ transaction dataset, boosting fraud detection accuracy by 18% while reducing false positives by 10%.

• Built a Power BI dashboard to visualize fraud patterns for real-time monitoring and faster stakeholder response.

Customer Behavior Segmentation Jan 2022 – Mar 2022

• Applied K-Means clustering in Python on AWS EMR to segment 50K+ customer records, achieving 92% accuracy through feature engineering.

• Designed Tableau dashboards highlighting high-value segments, projecting a 15% revenue uplift from targeted campaigns.

CERTIFICATIONS

• AWS Cloud Practitioner – Aug 2025

• Big Data Analytics – May 2024

EDUCATION

• M.S., Computer Science Florida Atlantic University – Boca Raton, FL Dec 2024

• B.Tech., Computer Science Keshav Memorial Institute of Technology – Hyderabad, India Jul 2022

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