Manas Chagi

Data Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

Key Highlights

Passionate about Data Engineering and Data Science.
Proven ability to optimize data processes and enhance reporting accuracy.
Strong collaborative skills with a focus on continuous learning.

Stackforce AI infers this person is a Data Engineer with expertise in Data Engineering and Software Development.

Contact

Skills

Core Skills

Data EngineeringSqlSoftware Development

Other Skills

Analytical SkillsSnowflakeDatabasesPython (Programming Language)Python PandasMicrosoft AzureAzure Data FactoryAzure Data LakeAzure Analysis servicesTeam workCommunicationEvent PlanningStrategic PlanningProject PlanningFlask

About

I’m Manas Chagi, a graduate in Information Science and Engineering from Bangalore Institute of Technology. 🌟 Passionate about Data Engineering and Data Science, I enjoy working with technologies like Snowflake, Python, SQL, and AWS, and I’m currently expanding my skills in Azure and modern data platforms. 🚀 I believe in the power of data-driven solutions and thrive on building scalable systems that create real impact. Beyond technology, I value collaboration and continuous learning—always open to exchanging ideas, connecting with diverse people, and working together on innovative solutions. 🤝

Experience

3 yrs 8 mos

Total Experience

Average Tenure

Current Experience

3m

2 roles

Data Engineer

Aug 2025 – Present · 10 mos

Intern

Apr 2025 – Aug 2025 · 4 mos

➡️Enhanced data views and resolved critical data duplication for EHS Go-Green and Spain packaging cost projects, improving reporting accuracy. (Built comparison view) 
➡️Conducted End-to-End Impact analysis for GPSA (Global Product Subject Area) tables, creating validation documentation and supporting dependency management.
➡️Optimized Resource Allocation for GenBI tools by developing flexible parameterized SQL stored procedures, accelerating insights for top users/columns, starting from python parsing, saving 3 hours.
➡️Reviewed Snowflake storage patterns and proposed optimizations to reduce unnecessary data retention, estimating potential annual savings of $72K.

Analytical SkillsSnowflakeData EngineeringDatabasesSQLPython (Programming Language)+6

Zinghr

Software Developer Intern

Jul 2024 – Aug 2024 · 1 mo · Bengaluru, Karnataka, India · Hybrid

Developed an Interface for LOP and LOP reversal calculations, reducing processing time from hours to 5 seconds.
Utilized Pandas, Flask, and other libraries for accurate, policy-compliant processing of Excel-based employee data.
Enhanced efficiency by generating updated salary records, reducing manual errors, and ensuring compliance.
Processed over 2000 employee records monthly, saving 95% of HR processing time.

Software DevelopmentProject PlanningFlaskPython (Programming Language)Pandas (Software)Microsoft Excel+3