Ayushi Gupta

Data Engineer

8 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in building scalable data solutions on Azure and GCP.
Improved decision-making speed by 30% for clients.
Enhanced code quality and deployment efficiency.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and scalable architectures.

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Skills

Core Skills

Data EngineeringCloud Computing

Other Skills

AzureAzure Data FactoryAzure Data LakeAzure DatabricksAzure SQLContinuous Integration and Continuous Delivery (CI/CD)Data AnalyticsData PipelinesData WarehousingETLETL ToolsExtract, Transform, Load (ETL)GCPGitHubGoogle BigQuery

About

🌟 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞 I am a results-driven Data Engineer passionate about building scalable and efficient data solutions. With expertise in Microsoft Azure, Google Cloud Platform (GCP), Databricks, Delta Lake, and Apache Spark, I design and implement robust end-to-end ETL pipelines that handle complex data workflows seamlessly. 🔍 𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐦𝐞? My technical proficiency in Python, SQL, and cloud platforms fuels my passion for solving challenging data problems. I specialize in batch and real-time data integration, delivering impactful solutions that enable informed decision-making. 🌐 𝐖𝐡𝐚𝐭 𝐚𝐦 𝐈 𝐜𝐮𝐫𝐫𝐞𝐧𝐭𝐥𝐲 𝐮𝐩 𝐭𝐨? 👉 Designing scalable data pipelines on Azure and GCP 👉 Automating ETL workflows with modern architecture patterns 👉 Leveraging Databricks and Apache Spark for advanced data processing 👉 Continuously learning to stay ahead in data engineering and cloud innovations 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭! 📧 𝐄𝐦𝐚𝐢𝐥: ayushi7744@gmail.com

Experience

Zageno inc.

Data Engineer

Jul 2025 – Present · 8 mos · Hybrid

Enqurious (formerly mentorskool)

2 roles

Data Engineer

Promoted

Apr 2023 – Aug 2025 · 2 yrs 4 mos · Remote

👉 Designed and implemented scalable data pipelines using Azure Data Factory (ADF) and Azure Databricks, leveraging PySpark for processing GB-scale data for a Skill Intelligence platform, empowering clients with 30% faster decision-making.
👉 Implemented pre-commit hooks and unit testing frameworks to enhance code quality in existing data pipelines, accelerating collaboration and reducing production deployment cycles by 20%.
👉 Enabled 100+ external colleagues to upskill in Azure and GCP Data Engineering stacks from our clientele that allowed the services wing of Enqurious to grow by 10%.
👉 Designed 5+ pre-sales technical assets (e.g., Data Pipeline Architectures etc..) for the services wing's upskilling initiatives, contributing to a 7% improvement in lead-to-conversion rates.

Azure Data FactoryAzure DatabricksPySparkETLData PipelinesData Engineering+1

Data Analyst

Aug 2022 – Apr 2023 · 8 mos · Remote

👉 Troubleshot performance bottlenecks in Azure SQL databases, achieving a 30% improvement in query execution speed.
👉 Analyzed learning behavior data to identify trends and provide actionable insights, enabling proactive interventions.