Arvind Kumar โ Data Engineer
โ ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ | ๐ก๐๐ง ๐ง๐ฟ๐ถ๐ฐ๐ต๐ | ๐๐๐ฃ ๐ฃ๐๐ ๐๐๐ฑ โ Designing scalable data pipelines & analytics-ready systems at enterprise scale. โ Iโm a Data Engineer at ADP Pvt Ltd, focused on building robust, high-performance data pipelines that transform raw enterprise data into business-ready insights. โ My work revolves around real production data, complex source systems, and scalable platforms โ not toy projects or theory. (Background includes Java backend development, which strengthens my system design and data pipeline architecture.) ๐ผ ๐ช๐ต๐ฎ๐ ๐ ๐๐ผ ๐ฎ๐ ๐ฎ ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ โ Design and build end-to-end ETL pipelines on Databricks using Python & PySpark Process and transform data from enterprise Systems of Record (SORs) โ Optimize Spark jobs for performance, scalability, and cost Model and store analytics-ready data in MongoDB & cloud data platforms โ Write efficient SQL for validation, transformation, and analytics Monitor, debug, and analyze pipelines using Splunk โ Collaborate with stakeholders to deliver reliable, business-ready datasets ๐ฅ๐ช๐ต๐ฎ๐ ๐๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐๐ถ๐ฎ๐๐ฒ๐ ๐ ๐ฒ โ Strong fundamentals in distributed data processing โ Hands-on experience with enterprise-scale data systems โ Focus on performance, data quality, and reliability โ Practical understanding of how data platforms run in real companies ๐ ๐ช๐ต๐ ๐๐ผ๐น๐น๐ผ๐ ๐ ๐ฒ ๐๐ผ๐น๐น๐ผ๐ ๐บ๐ฒ ๐ถ๐ณ ๐๐ผ๐ ๐๐ฎ๐ป๐: Practical Databricks & PySpark concepts used in production Real insights into enterprise data engineering Career guidance for data engineers (not surface-level content) Learn how to build scalable & reliable data pipelines ๐ Follow for real-world data engineering insights ๐ ๏ธ ๐๐ผ๐ฟ๐ฒ ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐ฆ๐๐ฎ๐ฐ๐ธ Python | PySpark | Databricks | AWS | SQL | MongoDB | Kafka | Splunk | Snowflake | Data Modeling | Java
Stackforce AI infers this person is a Data Engineer specializing in scalable ETL solutions for enterprise-level data processing.
Location: Hyderabad, Telangana, India
Experience: 3 yrs 9 mos
Skills
- Data Engineering
- Apache Spark
- Etl
- Backend Development
- Api Development
Career Highlights
- Expert in building scalable ETL pipelines.
- Strong background in data engineering and cloud technologies.
- Proficient in optimizing data workflows for efficiency.
Work Experience
Sigmoid
Senior Data Engineer (0 mo)
ADP
Data Engineer (3 yrs 5 mos)
Back End Developer (3 mos)
Education
Bachelor of Technology - BTech at National Institute of Technology, Tiruchirappalli