Sai Alekhya Chandramouli
Fremont,CA
Summary
Hardworking and highly motivated professional eager to lend combined knowledge and skills to enhance business performance. Operates well in both individual and team capacities, leveraging seasoned work ethic to adapt to different processes and drive company objectives quickly. Resourceful and results-driven, with a passion for growth and efficiency to meet company needs and increase service value. Ambitious individual with strong organizational and multitasking skills, along with an aptitude for technology, ready to apply knowledge and skills to any challenge. Goal is to secure a responsible career opportunity where training and skills can be fully utilized while making a significant contribution to the success of the company.
Overview
1
1
year of professional experience
Work History
Data Engineer (1099 Independent Contractor)
4urhires Inc. / GJ Cloud Solutions | Microsoft
04.2024 - 10.2024
- Responsible for designing, building, and maintaining data systems, including data pipelines, data warehouses, and data lakes this includes creating and optimizing data processing architectures, database schemas, and data storage solutions
- Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
- Developing and maintaining data pipelines, which are used to extract, transform, and load data from different sources into a centralized data warehouse or data lake
- Co-operated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability
- Ensuring the quality and consistency of data within the data systems, this includes developing and implementing data validation rules, data quality metrics, and data cleaning processes
- Optimizing the performance of data systems, including tuning database queries, optimizing data storage solutions, and improving data processing efficiency
- Collaborates with data scientists and analysts to design and implement data solutions that meet their needs this includes understanding their data requirements, providing access to data sources, and building data models and visualizations
- Ensuring the security and privacy of data within the data systems includes implementing security controls, data encryption, and access controls
- Stay up to date with industry trends and best practices in data engineering, including emerging technologies, tools, and techniques
Education
Master of Science - Business Analytics
Lewis University
Romeoville, IL08.2023
Skills
- Azure Data Engineering
- Database Management
- Microsoft SQL Server
- Data Migration
- ETL Development
- Data Warehousing
- Visual Studio
- Data Repositories
- Data Pipelines
Projects
Business Analytics Models for Automobile Customer Segmentation, Applied a variety of quantitative approaches to examine a dataset of car customers. Applied data visualization strategies to gain deeper understanding of consumer behavior. Employed business forecasting methods to anticipate patterns and trends. Utilized data mining techniques to obtain important information for making decisions. Created and put into place a business intelligence system for thorough examination. Oversaw database management systems and planned commercial data warehousing. Developed a strong model that enables companies to make well-informed decisions to maximize profitability, increase car sales, and improve customer satisfaction., Database management: By creating a structured database with SQL Server, effective data storage and manipulation via SQL queries were made possible., Data Warehousing: Using Visual Studio, a thorough data warehouse was built, and dataset data was transformed and loaded for more efficient business intelligence processes., Visual Information Interpretation: Made use of Tableau's data visualization capabilities to create dynamic graphs and charts that help understand complex data linkages., Business Intelligence: Made use of Tableau to produce perceptive visuals that made trend and pattern analysis easier., Data mining techniques: Regression, naive Bayes classification, decision trees, and WEKA were used for thorough data mining to find hidden relationships and predicted insights., Forecasting: ARIMA and exponential smoothing were used to predict future trends, while Excel and WEKA were used as tools for this process., Quantitative Business Methods: Utilizing statistical methods such as correlation analysis and hypothesis testing.
Languages
English
Native or Bilingual
Telugu
Native or Bilingual
Hindi
Full Professional
Timeline
Data Engineer (1099 Independent Contractor)
4urhires Inc. / GJ Cloud Solutions | Microsoft
04.2024 - 10.2024
Master of Science - Business Analytics
Lewis University