Data Analyst - SQL, Python & Power BI Specialist

Harshitha Kunchakuri

Place: Little Elm, Tx; Email: ***********************@*****.***; Mobile: +1-682-***-****; Harshitha Kunchakuri OBJECTIVES

Data Analyst with 4 years of experience integra6ng SQL, Python, and Power BI to design data pipelines, perform sta6s6cal analysis, and deliver ac6onable insights. accomplished to enhance data quality, automate repor6ng, and support decision-making through clean, analy6cs-ready datasets.

PROFESSIONAL SUMMARY

• Results-driven Data Analyst with 4 years of experience delivering ac6onable business insights through advanced data analy+cs, repor+ng, and data governance.

• Proficient in SQL, Python, Power BI, and Snowflake, with hands-on exper6se in building scalable ETL pipelines, automa+ng repor+ng workflows, and visualizing key performance metrics.

• Exper6se in data cleansing, valida+on, metadata management, and integra+on tes+ng to ensure high data quality and compliance.

• Adept at collabora6ng across business and technical teams in Agile environments to support data-driven decision-making. Proven ability to reduce manual effort, enhance data accessibility, and drive opera6onal efficiency. SKILLS

Cloud Reporting Database Technology: Tools : : Azure. Snowflakes, Power BI, Tableau Metadata, google Repositories, analyst, Advanced MS SQL Server Excel, 2008,Data SSMS Governance (SQL Server tools. Management Studio). Methodologies Languages IDE Packages Operating Data Tools System & Collaboration: : : : : : Python, Windows, NumPy, Data MS Visual Cleansing C, Pandas, Java, Linux, Studio, Agile & HTML5. Collaboration, Matplotlib, Mac Transformation, Jupiter OS. Notebook, Scikit-Agile Data learn, Methodologies, Collab. Lineage Seaborn. Tools, Collaborative Data Validation, Analytics Integration Workflows. Testing, Metadata Repositories, Unit Testing, Testing Certifications Manage UAT semantic (User models Acceptance : : A/Programming B Testing, in Power Testing)Hypothesis BI, Essentials . Create and Testing. in Python(manage cisco)workspaces,Programming in Power Essentials BI. in C++(Cisco). PROFESSIONAL EXPERIENCE

Altice USA, New Jersey. Feb 2025 – Present

Data • Analyst Designed and implemented business glossaries, data dictionaries, and metadata repositories to improve consistency, traceability, and

• accessibility Utilized SQL (across SSMS, cross-Snowflake) functional and Python reporting (Pandas, teams. NumPy) to perform data profiling, cleansing, and validation, identifying anomalies in

• subscriber Developed data, ETL mapping usage logs, documentation billing records, (source and operational staging KPIs. data warehouse) for all inbound data feeds including customer usage, plan

• changes, Automated and metadata call detail extraction records (CDRs)and classification . workflows using Python, significantly reducing manual tagging time and improving

• • cataloging Created Led initiatives Power accuracy. in BI dashboards data lineage to tracking, visualize enabling data quality teams metrics, to trace lineage data flow, flows and from governance network compliance infrastructure across to sensitive executive data dashboards, domains.

• supporting Facilitated unit audit testing, readiness integration and compliance testing, and (e.g.UAT,, CPNI including policies)writing . and executing SQL scripts to validate data transformation logic and

• ensure Built and end-managed to-end deployment system reliability. plans, rollback strategies, and SQL job scheduling for seamless integration of governance tools within the

• enterprise Partnered with data business ecosystem. users, data stewards, and governance leaders to define access controls, roles, and ownership structures for high-

• impact Delivered telecom training datasets. and onboarding materials to increase adoption of governance platforms across non-technical business units and reduce knowledge silos.

• Operated within a fast-paced Agile framework, participating in daily stand-ups, sprint planning, and cross-functional collaboration with Environment: data engineering, SQL, Python, compliance, Power and BI, analytics Data Governance teams. Tools, Metadata Repositories, SSMS, Data Lineage Tools, ETL Pipelines, Data Warehousing, Unit Testing, UAT, Integration Testing, Agile Methodologies, Excel, Source-to-Target Mapping Documentation. CVS, Rhode Island. Feb 2024 - Dec 2024

BI Analyst

• Designed and implemented highly scalable and performant database architectures to support enterprise-level healthcare reporting and analytics.

• Collaborated with project managers and cross-functional stakeholders to gather, analyze, and consolidate reporting requirements— ensuring alignment with CVS Health’s project timelines and compliance standards.

• Developed numerous ad-hoc SQL queries and business reports that addressed evolving client needs and supported organizational KPIs and compliance tracking.

• Led the development of a healthcare data warehouse using MS SQL Server 2008, SSIS, SSAS, and SSRS within MS Visual Studio, enabling centralized and efficient data storage and reporting.

• Interfaced directly with business users, clinical teams, and departmental managers to define BI/reporting objectives and delivered tailored solutions that enhanced strategic decision-making.

• Designed and maintained web-based corporate reporting dashboards and provided troubleshooting for existing BI reports to ensure data accuracy and availability.

• Optimized existing SSRS reports for performance by analyzing execution plans, minimizing redundant joins, and refining stored procedures using SSMS.

• Actively participated in Agile development cycles, delivering incremental improvements to BI systems in alignment with CVS’s continuous delivery goals.

Environment: MS SQL Server 2008, SSIS, SSAS, SSRS, MS Visual Studio, SQL, SSMS, Stored Procedures, Data Warehousing, Business Intelligence

(BI), Ad-hoc Reporting, Web-based Reporting, Performance Optimization, Agile Collaboration. ERICS, Hyderabad (India) May 2020 - Dec 2022

Insights Analyst

• Assisted in designing and implementing ETL pipelines using Python and Snowflake to extract, transform, and load data from multiple sources, improving accessibility for business users.

• Contributed to reducing data processing time by optimizing pipeline logic and applying efficient data transformation techniques in Python.

• Performed data cleansing and standardization using Python (Pandas) and Apache Spark, leading to improvement in data accuracy for downstream reporting systems.

• Executed SQL queries and Python scripts to validate and reconcile data across different stages of the pipeline, ensuring consistency and reliability.

• Supported the maintenance of Hadoop-based data warehouses, participating in tuning queries and monitoring data flow for performance improvements.

• Collaborated with analysts and data engineers to understand data requirements, troubleshoot pipeline issues, and deliver clean, analytics-ready datasets.

Environment: Python, SQL, Snowflake, Apache Spark, Pandas, Hadoop, ETL Pipelines, Data Warehousing, Data Cleansing & Transformation, Performance Tuning, Data Validation, Collaborative Analytics Workflows. EDUCATION

University of Texas at Arlington, Arlington (TX). Jan 2023 - Dec 2024 Masters of Science in Computers Science.

Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India July 2018 – May 2022 Bachelor of Technology in Computer Science Engineering.

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