Rajan yadav
@rajanyadav5
I build reliable cloud data pipelines for analytics-ready datasets.
IndiaWhat I'm looking for
At Sysnet Global Technologies, I build automated data ingestion pipelines processing 100K+ records from CSV files, APIs, and relational databases. I also develop Python reporting automation that has reduced manual processing effort by approximately 50% and optimize SQL reporting queries by 40%.
Previously at Tech Mahindra, I supported enterprise data systems and databases in mission-critical production environments. I diagnosed ETL failures and data inconsistencies through SQL-based root-cause analysis, helping reduce recurring production incidents by 30%.
I've built end-to-end projects across Snowflake, DBT, AWS, PySpark, Databricks, Airflow, and PostgreSQL, including a 1M+ ride-record batch pipeline and a Medallion Architecture warehouse with SCD Type 2 tracking, DBT testing, and analytics-ready dimensional models.
Experience
Work history, roles, and key accomplishments
Data Engineer
Sysnet Global Technologies Pvt Ltd
Feb 2025 - Present (1 year 8 months)
Designed and built automated data ingestion pipelines processing 100K+ records from CSV files, APIs, and relational databases. Developed Python automation tools to streamline internal data reporting, reducing manual processing effort by approximately 50%.
Technical support Associate Engineer
Tech Mahindra
Apr 2021 - Feb 2025 (3 years 10 months)
Worked as a Technical Support professional, handling application and data-related issues, SQL-based data analysis, Excel reporting, troubleshooting, and stakeholder communication. This experience gave me practical exposure to enterprise systems, data validation, and operational processes, and motivated me to build my career in data analytics and data engineering.
Education
Degrees, certifications, and relevant coursework
IES College of Technology
Bachelor of Technology, Computer Science
2017 - 2021
Pursued a Bachelor of Technology in Computer Science from 2017 to 2021.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
Skills
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