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Hi, I’m Ibrahim Ahmed Qureshi, a Data Engineer based in Lahore, Pakistan, open to relocation. I specialize in building scalable, secure ETL pipelines and data platforms on Azure, turning noisy data into trusted products and APIs for analytics and decision-making. I bring hands-on experience with Azure Data Explorer, Functions, Logic Apps, IoT Hub, and .NET, plus Python, SQL, and KQL. I’m passionate about privacy-preserving multi-tenant architectures and innovative analytics agents powered by AI, including LLM-driven ad-hoc analytics that respect data isolation.…Hi, I’m Ibrahim Ahmed Qureshi, a Data Engineer based in Lahore, Pakistan, open to relocation. I specialize in building scalable, secure ETL pipelines and data platforms on Azure, turning noisy data into trusted products and APIs for analytics and decision-making. I bring hands-on experience with Azure Data Explorer, Functions, Logic Apps, IoT Hub, and .NET, plus Python, SQL, and KQL. I’m passionate about privacy-preserving multi-tenant architectures and innovative analytics agents powered by AI, including LLM-driven ad-hoc analytics that respect data isolation.

Ibrahim Ahmed Qureshi

AI Engineer, AI Developer, Data Scientist, +5

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Hi, I’m Ibrahim Ahmed Qureshi, a Data Engineer based in Lahore, Pakistan, open to relocation. I specialize in building scalable, secure ETL pipelines and data platforms on Azure, turning noisy data into trusted products and APIs for analytics and decision-making. I bring hands-on experience with Azure Data Explorer, Functions, Logic Apps, IoT Hub, and .NET, plus Python, SQL, and KQL. I’m passionate about privacy-preserving multi-tenant architectures and innovative analytics agents powered by AI, including LLM-driven ad-hoc analytics that respect data isolation.…Hi, I’m Ibrahim Ahmed Qureshi, a Data Engineer based in Lahore, Pakistan, open to relocation. I specialize in building scalable, secure ETL pipelines and data platforms on Azure, turning noisy data into trusted products and APIs for analytics and decision-making. I bring hands-on experience with Azure Data Explorer, Functions, Logic Apps, IoT Hub, and .NET, plus Python, SQL, and KQL. I’m passionate about privacy-preserving multi-tenant architectures and innovative analytics agents powered by AI, including LLM-driven ad-hoc analytics that respect data isolation.

Available to hire

Hi, I’m Ibrahim Ahmed Qureshi, a Data Engineer based in Lahore, Pakistan, open to relocation. I specialize in building scalable, secure ETL pipelines and data platforms on Azure, turning noisy data into trusted products and APIs for analytics and decision-making.

I bring hands-on experience with Azure Data Explorer, Functions, Logic Apps, IoT Hub, and .NET, plus Python, SQL, and KQL. I’m passionate about privacy-preserving multi-tenant architectures and innovative analytics agents powered by AI, including LLM-driven ad-hoc analytics that respect data isolation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Data/AI Engineer at Octopus Digital Ltd.

June 1, 2024 - Present

Engineered production-grade analytics agents that convert prompts into safe, performance-tuned queries for execution over time-series data in Azure Data Explorer / Storage Accounts / SQL. Designed agent orchestration using tool-calling to resolve intermediate steps. Implemented vectorization and retrieval workflows (embeddings + vector DB patterns) to enable fast, relevant context retrieval for LLM prompts. Led multi-agent routing for specialized requests; established deep observability across the pipeline; deployed and managed API endpoints for the agent using Azure Function Apps; built a secure API layer and orchestration logic to invoke a multi-agent system.

Data Engineer at Octopus Digital Ltd.

June 1, 2024 - Present

Implemented end-to-end ETL pipelines to ingest, transform, and validate high-volume operational data from multiple sources into Azure Data Explorer and Data Lake. Built multi-tenant, high-throughput REST data APIs serving ~400k requests/day with tenant-level configuration, built-in authentication, multiple data formats, and standard HTTP semantics. Implemented observability using Azure Application Insights and Log Analytics for end-to-end monitoring, diagnostics, and performance tracking. Optimized data access with indexing, partitioning, and query tuning in SQL-based stores. Designed a usage analytics data warehouse to track API consumption, customer activity, and system metrics. Developed a chat-based analytics agent using Azure OpenAI to enable secure, ad-hoc analysis on customer datasets while preserving data isolation and privacy.