Ayush Singh

Data Engineer

Noida, Uttar Pradesh, India3 yrs 2 mos experience

Highly Stable

Key Highlights

Boosted user engagement by 60% with NLP innovation.
Recovered $7M annually through optimized data pipelines.
Reduced deployment errors by 30% through root cause analysis.

Stackforce AI infers this person is a Data Engineer specializing in AI-driven automation and big data solutions.

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Skills

Core Skills

Data EngineeringCloud Computing

Other Skills

AlgorithmsAndroidApache AirflowAzureAzure Cosmos DBAzure Data LakeAzure DatabricksAzure Kubernetes Service (AKS)Big DataCC++Cloud Data MigrationData ArchitectureData IngestionData Processing

About

With a strong foundation in Data Engineering, AI, and LLMs, I specialize in designing and implementing scalable big data solutions that drive business impact. My journey at HP Inc. began as an intern, where I collaborated with the RnA team on enterprise data deployment, and I now contribute to cutting-edge AI-driven automation and NLP solutions that enhance operational efficiency. 💡 Key Achievements: ✅ AI & NLP Innovation – Developed an NLP-based system that boosted user engagement by 60%, streamlining access to critical architectural documentation for over 200 businesses. ✅ Big Data & ETL Optimization – Engineered data pipelines using Spark, PySpark, and Databricks, improving data accessibility by 40% and optimizing rebate calculation, recovering $7M annually. ✅ Deployment & Automation – Led root cause analyses on over 150 automated deployment errors, reducing failures by 30% and improving delivery timelines by 15%. 🔍 Technical Expertise: Programming & Data Processing: Python, PySpark, Spark SQL Cloud & Databases: Azure (ADW, ADF, Fabric), GCP (BigQuery), AWS (S3, Glue), Snowflake Data Engineering Tools: DBT, Airflow, GitHub Actions Beyond my work, I am passionate about AI-driven automation, large-scale data analytics, and GenAI—constantly exploring innovative ways to enhance data infrastructure. Let’s connect and discuss how AI & data can shape the future of technology! 🚀

Experience

Hp

3 roles

Data Engineer - GTM Advanced Analytics

Apr 2025 – Nov 2025 · 7 mos · Remote

Data Engineer - DMPE

Aug 2022 – Mar 2025 · 2 yrs 7 mos · Remote

Working on something cool, stay tuned

Data Engineer Intern

Mar 2022 – Jul 2022 · 4 mos · Remote

Worked with the RnA team to develop the CXO Board, a strategic dashboard providing high-level executives with detailed insights into Sales, Orders, HR, and Legal progress. Key contributions:
Automated data validation using rule-based algorithms, reducing erroneous BMT files by 30% and improving overall data integrity.
Optimized cloud data migration, analyzing and integrating 30+ data sources within the HP FDL system, cutting processing time by 30%.
Designed and developed ETL workflows, enhancing data ingestion pipelines to improve data accessibility and analytics efficiency.
Collaborated with senior engineers on enterprise data deployment, gaining hands-on experience with Azure, ETL, and large-scale data processing.

PythonAzureETLData ProcessingData ValidationCloud Data Migration+3