Summary
Overview
Work History
Education
Skills
Timeline
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Shravan K

Dallas

Summary

Seasoned Senior Data Engineer with background in developing, testing, and maintaining data architectures. Possess strong skills in database management systems, Big Data processing frameworks, data modeling and warehousing. Have successfully led teams in creating innovative data solutions to improve system efficiency and business decision-making processes. Demonstrated impact through enhanced data availability and accuracy in previous roles. Insightful Senior Data Engineer known for high productivity and efficiency in task completion. Possess specialized skills in data modeling, ETL development, and cloud computing solutions. Excel in problem-solving, teamwork, and communication, ensuring successful project outcomes and effective collaboration with cross-functional teams. Practical database engineer possessing in-depth knowledge of data manipulation techniques and computer programming paired with expertise in integrating and implementing new software packages and new products into system. Offering several-year background managing various aspects of development, design and delivery of database solutions. Tech-savvy and independent professional bringing outstanding communication and organizational abilities. A proven track record of working in a fast-paced environment. Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, R, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies. Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

Overview

11
11
years of professional experience

Work History

Senior Data Engineer

Safelite Auto Glass
Dallas
02.2021 - Current
  • Created ETL scripts to move and transform data from various sources into a centralized repository.
  • Developed data pipelines to ingest and process large datasets.
  • Collaborated with other teams to understand their requirements and deliver solutions accordingly.
  • Integrated multiple heterogeneous sources into one unified source via ETL processes.
  • Optimized existing queries in order to improve query performance and reduce the load on the server.
  • Managed security protocols and access control policies within the organization's databases and systems.
  • Monitored system health and performance metrics to ensure smooth functioning of the system.
  • Implemented new database technologies such as NoSQL databases for efficient storage of large volumes of data.
  • Analyzed user needs and created logical models that met those needs while adhering to industry standards.
  • Implemented best practices around data governance and compliance standards such as GDPR and HIPAA.
  • Provided technical support in troubleshooting issues related to data processing or storage systems.
  • Performed advanced analytics on structured and unstructured data using SQL, Python, R.
  • Automated manual processes by creating custom scripts and programs using scripting languages like Bash, PowerShell.
  • Designed, built, and maintained high-performance databases for reporting and analysis purposes.
  • Deployed machine learning models to production environment for real-time predictions.
  • Conducted research and development activities related to new technologies, frameworks and tools used in Big Data Analytics projects.
  • Developed tools and applications for monitoring data quality and integrity across all applications and databases.
  • Built complex reports utilizing multiple sources of information from different systems.
  • Ensured data accuracy through regular testing and validation procedures prior to deployment in production environments.
  • Configured replication services between distributed clusters in order to synchronize datasets across regions.
  • Created graphs and charts detailing data analysis results.
  • Distilled data to devise solutions related to budgeting, staffing and marketing decisions.
  • Followed industry innovations and emerging trends through scientific articles, conference papers or self-directed research.

Senior Data Analyst

Bank of America
Pennington
06.2017 - 12.2020
  • Analyzed large data sets to identify trends and insights for strategic decision-making.
  • Developed dashboards using Tableau to visualize key performance indicators for stakeholders.
  • Collaborated with cross-functional teams to refine data collection and reporting processes.
  • Conducted statistical analysis to support financial forecasting and risk assessment initiatives.
  • Mentored junior analysts on best practices in data interpretation and analytical techniques.
  • Presented findings to senior management, facilitating informed business strategies and actions.
  • Automated reporting tasks using SQL, increasing efficiency across the analytics team.
  • Ensured data integrity by performing regular audits and quality checks on datasets.
  • Developed complex SQL queries to analyze large datasets for trends and insights.
  • Developed dashboards in PowerBI to provide real-time business intelligence insights.
  • Created data visualizations in Tableau to present findings to stakeholders.
  • Optimized database design and queries for improved performance of analytics operations.
  • Established KPI metrics and monitored performance of data analysis projects.
  • Maintained accuracy of datasets by performing regular quality assurance checks.
  • Trained junior analysts on best practices in data mining and visualization tools.
  • Designed, developed and implemented ETL processes for data integration from multiple sources.
  • Provided data-driven recommendations for marketing campaigns and product development initiatives.
  • Performed statistical analysis on customer data to identify patterns and correlations.
  • Automated daily reporting processes with Python scripting techniques.
  • Investigated root causes of anomalies in datasets using exploratory data analysis.
  • Prepared reports, briefings and instruction manuals for software solutions and data assets with concise language and clear document design.
  • Utilized machine learning algorithms to predict customer behavior based on past interactions.
  • Lead the design, implementation, maintenance, and support of enterprise data systems architecture solutions.
  • Extracted unstructured text from social media platforms using natural language processing methods.
  • Identified opportunities for process improvements through data analysis.
  • Provided technical support for existing reports, dashboards or other tools.
  • Maintained or updated business intelligence tools, databases or dashboards.
  • Generated standard or custom reports summarizing business, financial or economic data.
  • Identified and analyzed industry or geographic trends with business strategy implications.
  • Communicated with customers, competitors and suppliers to stay abreast of industry or business trends.
  • Collected business intelligence data from industry reports, public information or purchased sources.
  • Assessed programs to identify risks or problems to determine appropriate responses.
  • Identified or monitored current and potential customers using business intelligence tools.

Data Analyst

JPMorgan Chase
Los Angeles
02.2015 - 05.2017
  • Analyzed large datasets to identify trends, patterns and correlations for business insights.
  • Translated raw data into meaningful information using statistical techniques.
  • Provided data-driven solutions to support decision making.
  • Maintained documentation of all the processes related to Data Analysis.
  • Generated reports and obtained data to develop analytics on key performance and operational metrics.
  • Leveraged SQL queries to extract, transform and load data into databases.
  • Built visualizations that enabled users to quickly interpret results from complex analyses.
  • Worked with internal teams to understand business needs and changing strategies.
  • Utilized advanced analytics tools such as SAS, SPSS, Excel PowerPivot, to manipulate large volumes of structured and unstructured data sets.
  • Developed dashboards with Tableau to monitor key performance indicators.
  • Assisted with efforts to track, evaluate and report on impact of programs using multiple data sources.
  • Optimized existing database structures for better performance on analytics tasks.
  • Collected, tracked and reviewed data to evaluate business and market trends.
  • Collaborated with IT and business process owners to enhance system requirements for analytical purposes.
  • Conducted full lifecycle analysis to include requirements, activities, and design of data analytic solutions.
  • Utilized statistical techniques to interpret data and analyze results, providing actionable insights to stakeholders.
  • Assessed the effectiveness and accuracy of new data sources and data gathering techniques.
  • Monitored performance and quality control plans to identify improvements in data systems.
  • Utilized predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
  • Filtered and cleaned data, and reviewed computer reports, printouts, and performance indicators to locate and correct code problems.
  • Created data visualizations and reports for management, showcasing findings and recommendations.
  • Developed and implemented data collection systems and strategies to optimize statistical efficiency and data quality.
  • Worked closely with management to prioritize business and information needs.
  • Supported initiatives for data integrity and normalization.
  • Implemented new data analysis methodologies and data visualization techniques.
  • Prepared detailed reports by collecting, analyzing, and summarizing information and trends.
  • Developed custom data models and algorithms to apply to data sets, enhancing business operations.
  • Analyzed and tracked data to prepare forecasts and identify trends.
  • Provided technical support for existing reports, dashboards or other tools.
  • Generated standard or custom reports summarizing business, financial or economic data.
  • Identified needs of customers promptly and efficiently.
  • Managed diverse projects for data capture, storage and forecast analysis.
  • Maintained library of model documents, templates or other reusable knowledge assets.
  • Collected business intelligence data from industry reports, public information or purchased sources.
  • Communicated with customers, competitors and suppliers to stay abreast of industry or business trends.
  • Identified or monitored current and potential customers using business intelligence tools.
  • Assessed programs to identify risks or problems to determine appropriate responses.
  • Disseminated information regarding tools, reports or metadata enhancements.

Education

Master of Science - Data Science

Sacred Heart University
Fairfield, CT
12-2024

Skills

  • Data analysis
  • Machine learning
  • SQL querying
  • Data visualization
  • ETL processes
  • Statistical analysis
  • Python programming
  • Data security
  • Advanced SQL
  • Data quality assurance
  • Git version control
  • ETL development
  • Java development

Timeline

Senior Data Engineer

Safelite Auto Glass
02.2021 - Current

Senior Data Analyst

Bank of America
06.2017 - 12.2020

Data Analyst

JPMorgan Chase
02.2015 - 05.2017

Master of Science - Data Science

Sacred Heart University

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