Nitish Songara

Nitish Songara

$15/hr
Data Engineering
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
26 years old
Location:
Bhopal, Madhya Pradesh, India
Experience:
4 years
Nitish Songara- Data Engineer - Bhopal, India /sonu7089 /nitishsongara1 SUMMARY Data Engineer with 4+ years of experience at Deloitte and Ascendeum, skilled in ETL/ELT, PySpark, and cloud platforms (Azure, AWS, MongoDB). Delivered 5x faster workflows, 60% query gains, and 99.9% reliable pipelines on terabyte-scale data. An MBA in Finance adds strength in ROI analysis, cost optimization, and data-driven decision making. I leverage AI tools to speed development, automate workflows, and stay adaptable in fast-evolving data ecosystems. PROFESSIONAL EXPERIENCE Ascendeum 06/2025 – Present | Remote Associate Data Engineer Automated ETL pipelines processing 500M+ events/month from S3 into MongoDB, powering ad analytics dashboards for 50+ stakeholders. Improved MongoDB performance with indexing and sharding, boosting ingestion and read speeds by 60% and reducing dashboard latency from 30s to under 10s. Migrated workflows from Pandas to PySpark, achieving a 5x performance improvement on 200GB+ daily datasets. Derived KPIs from raw event data to create actionable performance metrics, enabling clients to track outcomes and optimize campaigns in real time. Collaborated with business teams to design data-driven ad strategies, resulting in a 12–15% increase in client ROI. • • • • • Deloitte 08/2021 – 05/2025 | Bengaluru, India Data Engineer Designed and maintained Azure Data Factory and Databricks pipelines, processing 20M+ records weekly (~1TB/month) from 10+ sources. Built modular PySpark and SQL frameworks, cutting pipeline development time by 30% and improving maintainability. Developed SQL models and curated views powering dashboards for 200+ business users, improving query performance by 40% and saving 300+ engineering hours annually. Implemented SQL Server optimization routines, reducing reporting query times by 20–25% and accelerating executive decision cycles. Enhanced pipeline reliability to 99.9% uptime through automated data quality checks, proactive monitoring, and schema evolution handling. • • • • • SKILLS Python | SQL | PySpark | Databricks | Delta Lake | Azure Data Factory | MongoDB | ETL/ELT | Data Modeling | Azure | AWS | Power BI | Data Structures & Algorithms | Query Optimization | Data Quality Automation | Monitoring & Debugging EDUCATION Master of Business Administration - Finance Lakshmi Narain College of Technology Completed alongside full-time role at Deloitte Bachelor of Engineering - Information Technology Institute of Engineering & Technology (IET DAVV) 10/2021 – 08/2023 | Bhopal, India 07/2017 – 07/2021 | Indore, India CERTIFICATIONS DP-203: Azure Data Engineer Associate DP-300: Database Administrator Associate AZ-900: Azure Fundamentals
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