Summary
Overview
Work History
Education
Skills
Certification
References
Timeline
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HARI KRISHNA BODDU

San Jose,United States

Summary

Results-oriented Data Analyst with over 5 years of full-time experience in data analytics, ETL pipeline development, and cloud data warehousing. Proficient in SQL, SSMS, and Azure Data Factory, with a strong track record of designing and optimizing scalable data integration workflows across cloud platforms, including Azure and AWS. Experienced in Snowflake and Azure Data Lake Storage (ADLS) for secure, high-performance cloud data warehousing and storage. Skilled in implementing Star and Snowflake schema designs, enhancing data organization, and query performance. Hands-on expertise in Azure Databricks and PySpark for large-scale data processing and transformation, with a focus on building reusable, efficient data pipelines using notebooks and scheduled jobs. Proficient in delivering interactive dashboards and visualizations using Power BI and Tableau. Expert in DAX and M language for advanced calculations, performance tuning, and report customization. Familiar with AWS Glue, Lambda, and Redshift for cross-platform data integration. Committed to maintaining data quality, accuracy, and consistency, with a proven ability to translate business requirements into actionable insights. Experienced in Agile and Waterfall methodologies, stakeholder collaboration, and delivering end-to-end data solutions aligned with business goals.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data ANALYST

NEXTRACKER INC
Fremont, CA
08.2024 - Current
  • Utilized advanced SQL for complex data querying and transformations to meet business objectives and ensure accurate reporting.
  • Managed and optimized Azure SQL and Synapse environments, enhancing compute allocation, data throughput, and pipeline reliability.
  • Developed scalable ETL workflows using Azure Data Factory, supporting real-time and batch data processing from diverse enterprise systems.
  • Implemented data ingestion and transformation logic using PySpark and Azure Databricks to improve efficiency for structured and unstructured datasets.
  • Built dynamic, parameterized Power BI dashboards with role-level security and DAX-driven calculations to support department-level KPIs.
  • Applied best practices in star schema and Snowflake schema modeling to design scalable data marts and data warehouses.
  • Worked directly with cross-functional stakeholders to gather reporting requirements and translate them into scalable, maintainable analytics solutions.
  • Developed alerting, validation, and retry logic for robust data pipeline monitoring and recovery.
  • Conducted in-depth analysis of application telemetry and process performance trends using Power BI, Python, and SQL.
  • Designed delta lake architecture and implemented versioning strategies to enable reliable historical reporting.
  • Created reusable pipeline templates and DevOps deployment configurations for ADF and Synapse resources.
  • Reduced Power BI dashboard load times by 40% through use of aggregations, indexing strategies, and optimized DAX queries.
  • Ensured data governance standards and row-level security across reporting layers and transformation logic.
  • Led UAT support, deployment readiness checks, and documentation for data pipelines and dashboards.
  • Supported CI/CD workflows using Azure DevOps and Git repositories for data integration components.
  • Environment: SQL, T-SQL, SSMS, Azure Synapse, Azure DevOps, Azure Data Factory, Azure Data Lake Storage, Power BI, Power BI Service, PySpark, DAX, M Language, Git, Python, Azure Monitor.

Data ANALYST

HealthyMd
Coconut creek, Florida
05.2023 - 08.2024
  • Data-driven Business Analyst with expertise in analyzing complex datasets, deriving insights, and optimizing business processes to drive strategic decision-making.
  • Strong background in stakeholder management, requirement gathering, and process improvement.
  • Adept at translating business needs into data-driven solutions.
  • Utilized advanced SQL for complex data querying and transformations to meet business objectives and ensure accurate reporting.
  • Managed, configured, and optimized Azure SQL databases to ensure high availability, performance, and scalability for business operations.
  • Designed and developed efficient data pipelines using Azure Data Factory, automating ETL processes for seamless data integration.
  • Extracted, transformed, and loaded data from various sources into centralized systems, maintaining consistency and high data quality across platforms.
  • Architected data lake and delta lake solutions using Azure Synapse to ensure scalable and efficient data storage and processing.
  • Developed and maintained Power BI dashboards, translating complex data into clear, actionable insights to drive business decisions.
  • Worked closely with business stakeholders to gather, analyze, and document requirements, ensuring data solutions aligned with business strategies.
  • Translated business requirements into effective data models, reports, and interactive dashboards, supporting strategic decision-making.
  • Applied ETL best practices to handle diverse data sources and ensure smooth integration, transformation, and loading processes.
  • Optimized Azure SQL performance by implementing query tuning techniques, improving processing efficiency, and reducing data retrieval times.
  • Led efforts to ensure data quality by identifying discrepancies, troubleshooting data issues, and implementing corrective actions across reports and pipelines.
  • Delivered actionable business insights by analyzing data patterns and trends, providing recommendations to optimize operations and drive growth.
  • Continuously monitored, troubleshot, and optimized data pipelines, ensuring data integrity and alignment with business needs.
  • Collaborated with both technical and non-technical teams, ensuring clear communication and successful delivery of data-driven solutions.
  • Analyzed market trends and customer behavior, providing valuable data insights and recommendations to support business strategy and decision-making.
  • Environment: SQL, SSMS, Azure Synapse, Azure DevOps, Azure Data factory, Azure Storage Accounts, Power BI, Power BI service, ETL, PySpark, DAX, M language.

Data ANALYST

KREAYOTOO SOLUTIONS Pvt Ltd
Hyderabad, Telangana
08.2019 - 12.2021
  • Worked closely with business teams to understand requirements and deliver actionable insights, ensuring that data solutions effectively supported business objectives.
  • Designed and implemented Data Mart using Star Schema for efficient storage and retrieval of HR data, enhancing the reporting process.
  • Developed and optimized complex SQL queries (CTEs, Stored Procedures, Views, Triggers, Indexes) in SSMS to improve database performance and support advanced reporting needs.
  • Built and optimized ETL workflows using Informatica and SSIS, transforming and loading data from multiple sources into SQL Server, ensuring accurate and timely reporting.
  • Leveraged advanced data transformations in Informatica (Lookup, Derived Columns, Conditional Split, Data Conversion) to streamline data integration and improve workflow efficiency.
  • Created interactive Power BI dashboards and reports to deliver real-time HR metrics, enabling leadership to provide data-driven solutions.
  • Designed and maintained OLAP cubes in SSAS for fast, multidimensional data analysis, facilitating efficient querying and in-depth reporting.
  • Developed and deployed SQL Server Reports (SSRS), including tabular and drill-down reports, to deliver insights to key stakeholders such as clients, vendors, and management.
  • Developed and optimized ETL workflows using AWS services such as AWS Glue and AWS Lambda, integrating data from various sources and automating data transformations for efficient processing and storage in Amazon S3 and Redshift.
  • Leveraged AWS tools like AWS Data Pipeline and Amazon RDS to design scalable, serverless ETL solutions, streamlining data extraction, transformation, and loading processes while ensuring high-performance and low-latency data handling.
  • Environment: MS SQL Server 2016/2017, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Power BI, SharePoint, MS Excel, Informatica, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift.

Education

Masters in TECHNOLOGY -

University Of Central Missouri
Missouri, United States
05.2023

Bachelor's in ENGINEERING -

Jawaharlal Nehru Technological University
Guntur, India
05.2018

Skills

  • Data analysis
  • Data visualization
  • SQL
  • Data cleaning
  • Power Bi
  • Azure Cloud
  • Azure Data Bricks
  • Azure Data Factory
  • Azure Delta lake storage
  • Azure Devops
  • Tableau
  • Aws cloud
  • Aws Glue
  • SSMS
  • Python
  • PySpark
  • Apache Spark
  • HTML
  • CSS
  • ETL
  • JavaScript
  • Snowflake
  • DAX
  • M language
  • AWS RedShift
  • AWS Lambda

Certification

  • AWS Certified: AWS Certified Cloud Practitioner
  • Microsoft: Career Essentials in Generative AI by Microsoft and LinkedIn

References

References available upon request

Timeline

Data ANALYST

NEXTRACKER INC
08.2024 - Current

Data ANALYST

HealthyMd
05.2023 - 08.2024

Data ANALYST

KREAYOTOO SOLUTIONS Pvt Ltd
08.2019 - 12.2021

Masters in TECHNOLOGY -

University Of Central Missouri

Bachelor's in ENGINEERING -

Jawaharlal Nehru Technological University

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