Sahil Srivastava

AI Researcher

Jalandhar, Punjab, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered a real-time data ingestion pipeline.
Oracle-certified in Generative AI and Cloud Infrastructure.
Skilled in Python, SQL, and data engineering solutions.

Stackforce AI infers this person is a Data Engineering professional with a focus on real-time data processing and cloud solutions.

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Skills

Core Skills

Data EngineeringReal-time Data Processing

Other Skills

Amazon Web Services (AWS)Analytical SkillsApache AirflowArtificial Intelligence (AI)Azure Data FactoryAzure DatabricksAzure DevOps ServicesC (Programming Language)C++Cascading Style Sheets (CSS)Cloud ComputingCommunicationComputer ScienceCritical ThinkingDashboards

About

Hi, I’m Sahil! I’m a Computer Science and Engineering student with a passion for building robust, scalable data engineering solutions. I interned as a Data Engineering Intern, where I worked on a real-time data ingestion pipeline that consolidated CSV and Excel files from Azure Blob Storage into SQL tables. The process involved schema validation, deduplication, and alert notifications using Azure Data Factory and Logic Apps—aimed at automating manual workflows and boosting operational efficiency. 🛠 Technical Expertise: Skilled in Python, SQL, C++, Azure, AWS, Databricks. Proficient in EDA, machine learning, CI/CD for data workflows, and geospatial and statistical analysis. Oracle-certified in Generative AI and Cloud Infrastructure, with hands-on experience in Delta Lake, Unity Catalog, and data governance practices. 🌟 What I Bring: Driven by curiosity and a problem-solving mindset, I specialize in crafting scalable, real-time, data-driven applications that deliver actionable insights. I’m passionate about combining cloud platforms, machine learning, and analytics to solve real-world challenges.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Infosys springboard

AI Intern

Aug 2025 – Oct 2025 · 2 mos · Remote

Celebal technologies

Data Engineering Intern

Jun 2025 – Aug 2025 · 2 mos · Jaipur, Rajasthan, India · Remote

Engineered a real-time data ingestion pipeline using PySpark and Delta Lake, generating and appending synthetic customer data (Name, Address, Email) into a Delta Table with built-in version control.
Leveraged Delta Table APIs and time zone-aware Spark sessions to track and retrieve the latest dataset snapshots using timestamp-based queries.
Automated data ingestion to run at configurable 5-minute intervals, ensuring continuous updates while preserving historical data.
Integrated HTML-based email notifications post-ingestion to summarize the new records and deliver insights in real-time.

PySparkDelta LakeHTML-based email notificationsData ingestionVersion controlData Engineering+1