Anjali Keshari — Data Engineer
As a data engineer, I create and develop data pipelines, build data warehouses, and ensure data quality across multiple platforms. I use Azure Data Factory, Databricks, and SQL Server to design and implement robust ETL solutions, also develop Python scripts for automating data ingestion processes, reducing manual effort. With PySpark, I perform efficient data transformations, enhancing data quality and reliability. Additionally, I conduct data modeling and performance tuning activities to support the scalability of data warehousing solutions. Certified by Microsoft in Azure Data fundamentals along with multiple certifications in MySQL, SQL, and Oracle Cloud. I am passionate about problem-solving and innovation, and constantly seek new opportunities to learn and improve my skills. I take a central role in setting up data engineering best practices and standards, which led to a 40% enhancement in data processing efficiency and a 25% decrease in data errors. I enjoy working with a diverse and collaborative team, and I strive to deliver value and quality to the clients.
Stackforce AI infers this person is a Data Engineering expert in building scalable ETL solutions for enterprise applications.
Location: Gurugram, Haryana, India
Experience: 4 yrs 8 mos
Skills
- Data Engineering
- Etl
- Full-stack Development
Career Highlights
- 40% enhancement in data processing efficiency.
- 25% decrease in data-related errors.
- Expert in designing robust ETL solutions.
Work Experience
PwC India
Data Engineer - Senior Associate (8 mos)
Tata Consultancy Services
Data Engineer (4 yrs)
Cognizant
Programmer Analyst Trainee (5 mos)
Education
B.Tech at Bengal College of Engineering and Technology 125
Senior Secondary at Dayawati Modi Academy
Higher Secondary at Kendriya Vidyalaya