Arun Raghuwanshi — Data Engineer
Data Engineer with 2.5+ years of experience building and supporting scalable data pipelines and modern data platforms. I work extensively with Snowflake, Databricks (Spark/PySpark), DBT, and AWS to ingest, transform, and serve data for analytics and reporting use cases. I have hands-on experience migrating data from legacy Hadoop ecosystems to cloud-native architectures. Key strengths: • Data pipeline development using PySpark and SQL • Snowflake performance tuning & cost-aware design • Databricks Lakehouse, Delta tables, and Spark internals • Data governance & metadata management (Collibra) • Batch data processing and ELT workflows Currently focused on deepening expertise in large-scale data engineering, query optimization, and platform architecture.
Stackforce AI infers this person is a Data Engineer specializing in cloud data solutions and governance.
Location: Indore, Madhya Pradesh, India
Experience: 2 yrs 8 mos
Skills
- Data Pipeline Development
- Data Governance
- Data Migration
Career Highlights
- Expert in building scalable data pipelines.
- Proficient in Snowflake performance tuning.
- Hands-on experience with cloud-native data architectures.
Work Experience
Accenture
Associate Software Engineer (2 yrs 8 mos)
SKOLAR
Internship Trainee (2 mos)
Education
Master of Computer Applications - MCA at LNCT Group of Colleges
Bsc Cs(hons) at Institute for Excellence in Higher Education(IEHE),Bhopal(Autonomous)