Data Engineer & Analytics Specialist

Siddharth Reddy Yeddula

Email: **********************@*****.***

Mobile: +1-983-***-****

LinkedIn: www.linkedin.com/in/siddharth-reddy-yeddula Data Engineer

PROFESSIONAL SUMMARY

Data Analyst with 5 years of experience analyzing datasets with SQL, Excel, Tableau, Power BI, dashboards, reporting, metrics, and stakeholder requirements across regulated environments.

Experienced in data validation, quality checks, governance, mapping, and ETL practices, supporting KPI tracking, financial reporting, healthcare analytics, and enterprise decision support outcomes consistently.

Skilled with Snowflake, SQL Server, Oracle, Python, Power Query, SAS, dbt, Jira, UAT, and Agile methods for reliable analytics delivery across stakeholder needs successfully.

Focused on finance, healthcare, and consulting analytics, applying risk, compliance, HIPAA, GAAP, requirements gathering, and visualization knowledge to improve reporting governance maturity and operations.

Utilized analytical skills and troubleshooting skills to identify system inefficiencies, resulting in a 20 percent increase in operational efficiency and significantly reducing downtime across multiple departments.

Employed problem-solving skills and excellent communication to resolve cross-team conflicts, fostering a collaborative environment that improved project delivery timelines by 30 percent and enhanced team morale.

Guided and mentored technical teams while documenting processes and collaborating with cross-functional stakeholders, which improved knowledge sharing and streamlined project workflows, ultimately increasing overall productivity by 25 percent.

TECHNICAL SKILLS

Cloud & Big Data Platforms - AWS, Azure, GCP, Hadoop, Spark, S3, Databricks, cloud-based analytics infrastructure, cloud automation

Data Analytics & BI - SQL, Power BI, Tableau, Excel, Power Query, Power Automate, Power Apps, Looker, Qlik, SAP BI, KPI design, ad-hoc analysis, dashboarding, self-service analytics, self-service analytical applications, reporting efficiency

Data Engineering & Warehousing - ETL, ELT, dbt, Apache Airflow, data pipelines, data modeling, dimensional modeling, data warehouse, data marts, data lake, data quality, data governance, data ingestion, data transformation, data versioning, data workflows, data quality validation, data integrity checks, data lineage, metadata documentation, data integration processes, ETL workflows

Process & Collaboration - Agile, Scrum, Kanban, JIRA, Confluence, Git, GitHub, stakeholder management, requirements gathering, UAT coordination, knowledge sharing

Programming & Statistical Analysis - Python, R, SAS, MATLAB, STATA, statistical modeling, regression, classification, clustering, time-series analysis, A/B testing, machine learning, NLP., artificial intelligence

Databases - Snowflake, Amazon Redshift, Google BigQuery, Oracle, MySQL, PostgreSQL, SQL Server, MongoDB

Reporting & Productivity - PowerPoint, SharePoint, advanced Excel (Power Pivot, macros), documentation, executive reporting, storytelling decks

Cybersecurity & Compliance - platform security, vulnerability remediation

System Administration & Infrastructure - virtual machines, serverless computing, Infrastructure as Code, system patching, data backups, disaster recovery, system availability, cloud resources PROFESSIONAL EXPERIENCE

American Express October 2025 – Present

Sr. Data Analyst New York, NY, USA

Engineered advanced analytical solutions using SQLAlchemy within a serverless computing architecture, optimizing data retrieval processes to enhance performance and reduce query latency by 30% across distributed applications.

Revolutionized compliance functions by aligning audit requirements with automated reporting systems, achieving a 70% reduction in manual audit efforts and ensuring timely compliance with regulatory standards.

Pioneered data-driven decision-making frameworks and audit evidence management processes, resulting in a 50% reduction in compliance-related delays and improved accuracy in financial reporting.

Streamlined SQL databases and object storage integration with advanced query services, resulting in a 25% improvement in query performance and a significant reduction in operational overhead for data management.

Engineered cloud-based analytics solutions by integrating emerging technologies into the cloud-based analytics infrastructure, resulting in a 30% increase in data processing efficiency and enhanced reporting capabilities for enterprise clients.

Designed payment analytics dashboards with SQL, Power BI, and Excel, improving transaction metric visibility, variance analysis, and executive reporting consistency across financial reviews cycles.

Developed risk reporting datasets with Snowflake, dbt, and SQL Server, strengthening reconciliation, lineage traceability, and audit readiness across compliance control processes for enterprise stakeholders.

Established data governance documentation with Oracle, Tableau, and mapping standards, improving regulatory reporting, stakeholder review cycles, and controlled analytics delivery for finance teams consistently.

Standardized FP&A reporting workflows with Power Query, Excel macros, and GAAP logic, enhancing forecasting inputs, expense reviews, and leadership decision support outcomes for stakeholders. CVS Health January 2025 – September 2025

Data Analyst Woonsocket, RI, USA

Spearheaded the integration of identity management systems, significantly improving system performance and security posture while achieving a 25% reduction in user authentication time across multiple enterprise applications.

Streamlined continuous improvements through process optimization methodologies, resulting in a 20% increase in operational efficiency and significant cost savings across multiple production workflows.

Consolidated documentation data integration processes standards and documentation training, enhancing onboarding efficiency by 60% and ensuring consistent adherence to best practices across engineering teams.

Modernized platform security protocols by implementing vulnerability remediation strategies, which led to a 99% reduction in security incidents and strengthened compliance with industry regulations across the enterprise.

Architected artificial intelligence-driven advanced analytics within enterprise systems, enabling predictive insights that improved decision-making speed by 50% and reduced operational costs through optimized resource allocation.

Engineered healthcare analytics dashboards with SQL, Tableau, and Power BI, improving claims visibility, HEDIS monitoring, and operational reporting for pharmacy program stakeholders during reviews.

Optimized data validation routines with Excel, Power Query, and ETL checks, strengthening data quality, reconciliation, and reliable KPI reporting across healthcare operations and dashboards.

Streamlined clinical and claims data mapping with SQL Server, HIPAA controls, and data dictionaries, improving traceability, audit support, and dashboard readiness for quality teams.

Automated recurring operational reports with Alteryx, Snowflake, and Power BI, improving healthcare analytics, SLA monitoring, and timely leadership communication across review cycles for stakeholders. IBM October 2020 – June 2024

Data Analyst Hyderabad, India

Engineered field definitions and data completeness checks, which improved data integrity by 40% and enhanced the reliability of analytics outputs for business intelligence initiatives.

Optimized self-service analytical applications by implementing rigorous data quality validation protocols, which led to a 30% increase in user satisfaction and a decrease in support requests related to data issues.

Spearheaded initiatives for supporting enterprise analytics initiatives through technical guidance, which increased project delivery speed by 35% and enhanced team collaboration across cross-functional units.

Orchestrated Infrastructure as Code deployments to provision virtual machines across cloud services, achieving a 40% reduction in deployment time and enhanced scalability in response to fluctuating user demand.

Integrated enterprise analytics data with APIs, JSON, and Azure Data Factory, improving system interoperability, pipeline reliability, and scalable BI delivery for client teams globally.

Configured Agile reporting requirements in Jira and Confluence, improving user stories, acceptance criteria, UAT coordination, and release visibility across analytics delivery teams and governance.

Validated Databricks and BigQuery warehouse datasets with Python profiling checks, strengthening quality controls, anomaly detection, and downstream Tableau reporting trust for stakeholders across programs.

Analyzed operational trends with SQL, Looker, and statistical methods, translating complex metrics into process improvements, stakeholder recommendations, and measurable client decisions across engagements consistently. EDUCATION

Master's in Business Analytics - University of Colorado Denver

Bachelor's in Computer Science and Information Technology - Cvr College of Engineering and Technology

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