Harshit Pathak
Data Engineer at Accenture | Azure | Databricks | PySpark | ETL | SQL | Python | Passionate about AI/ML applications
- Role
- Senior Data Engineer at Accenture
- Location
- Indore, MP, IN
- LinkedIn followers
- 500 followers
About Harshit Pathak
As a Data Engineer with 4+ years of experience, I specialize in building scalable data pipelines, optimizing large-scale data processing (2TB+ daily), and integrating diverse data sources to drive business insights. My expertise lies in Python, PySpark, SQL, Snowflake, and Azure Cloud, where I design, develop, and deploy high-performance data solutions.I have successfully led data migration projects, transitioning legacy systems to PySpark for improved efficiency and scalability. My work includes real-time data ingestion, ETL automation, API integration, and job monitoring, reducing failure rates and improving data accuracy. Key Expertise: Big Data Processing: PySpark, SQL, Snowflake, Hive (processing multi-terabyte datasets). Cloud & Data Architecture: Azure, Snowflake, Data Warehousing, Optimization. ETL & Automation: Designing end-to-end pipelines, improving performance & efficiency. Software Integration: API-based data solutions, continuous deployment, and automation. Stakeholder Collaboration: Working closely with cross-functional teams to deliver data-driven solutions. Passionate about scalable data engineering solutions, optimizing workflows, and leveraging cutting-edge technologies to enhance business intelligence. Open to new opportunities in data engineering, cloud-based ETL, and large-scale data processing roles.
Experience
Senior Data Engineer
Nov 2025 — Present
Education
Acropolis Group of Institutions
Bachelor of Technology - BTech, Information Technology
2017 — 2021
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