Md Kamran Akhtar

Consultant

India7 yrs 6 mos experience

Key Highlights

7+ years of experience in data engineering.
Expert in building scalable data platforms on Azure.
Strong focus on performance tuning and data governance.

Stackforce AI infers this person is a Data Engineering expert in Healthcare and FMCG sectors with strong Azure capabilities.

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Skills

Core Skills

Data EngineeringAzure Data FactoryArtificial Intelligence (ai)

Other Skills

Delta LakeSQLPythonData ModelingData StreamingData ArchitectureCI/CD PipelinesExtract, Transform, Load (ETL)Data GovernanceApache SparkMicrosoft AzureETL / ELTLakehouse ArchitectureData IngestionAzure Data Lake

About

With 7+ years of hands-on experience, I specialize in building enterprise-grade data platforms on Azure, delivering scalable ETL/ELT pipelines, real-time streaming architectures, and robust data models across Pharma, Energy, and FMCG domains. I focus on designing high-performance, reliable, and cost-efficient data solutions that operate at scale. My core expertise includes Python, Apache Spark, SQL, Azure Data Factory, Databricks, Synapse, and Delta Lake, with deep experience in data architecture, ingestion, transformation, and platform optimization. At clients such as Takeda and BP, I’ve led end-to-end data initiatives with a strong emphasis on performance tuning, data governance, observability, and audit-ready pipelines. I also mentor engineers, implement CI/CD best practices, and work closely with stakeholders to ensure production-grade delivery. Beyond core data engineering, I bring complementary experience in AI/ML and computer vision, including anomaly detection, object recognition, and NLP, enabling intelligent automation, predictive analytics, and enhanced business insights. Curious and collaborative by nature, I enjoy solving complex problems, learning emerging technologies quickly, and mentoring teams. I am currently exploring Senior / Lead Data Engineer and Data Platform roles, and am open to opportunities in the UAE.

Experience

7 yrs 6 mos

Total Experience

Average Tenure

Current Experience

Ey

3 roles

Senior Consultant

Jan 2025 – Present · 1 yr 5 mos

Client: Takeda
Led architecture and delivery of automated, analytics ready data solutions in a regulated pharma environment.
Designed cost efficient ingestion and transformation pipelines (ADF, Databricks, Synapse, Data Lake) with reusable patterns.
Implemented validation checks and monitoring for audit ready SLAs; improved pipeline reliability and maintainability.
Tuned Spark jobs and optimized storage layouts (partitioning, file sizes, caching) to improve throughput and reduce costs.
Mentored junior engineers on Azure/Spark best practices and CI/CD workflows using Azure DevOps.

Delta LakeSQLPythonData ModelingData StreamingData Architecture+14

Senior Consultant

Promoted

Nov 2022 – Dec 2024 · 2 yrs 1 mo

Client: British Petroleum
Architected and delivered scalable data pipelines for enterprise analytics using ADF and Databricks.
Built real time ingestion with Event Hub, Functions, and Spark Streaming for time sensitive datasets.
Established standardized ingestion patterns for APIs, SQL, Oracle, and SharePoint to accelerate delivery.
Optimized PySpark/SQL and cluster utilization to reduce runtimes and costs; improved release cadence via Azure DevOps CI/CD.
Collaborated with BI teams to publish analytics ready datasets and created data dictionaries/runbooks.

Delta LakeSQLPythonData ModelingData StreamingData Architecture+14

Consultant

Oct 2021 – Nov 2022 · 1 yr 1 mo

Client: British Petroleum
· Developed robust data ingestion patterns using PySpark, integrating data from REST APIs, SQL, Oracle, SharePoint and applying business transformation rules.
· Designed and implemented conceptual, logical and physical models for Data Vault.
· Engineered solutions to identify deltas for incremental and snapshot loads, supporting the Data Vault 2.0 model.
· Partnered with stakeholders to translate requirements into designs, authored design docs and playbooks for onboarding.

Delta LakeSQLPythonData StreamingCI/CD PipelinesExtract, Transform, Load (ETL)+12

Mindtree

4 roles

Senior Data Engineer

Sep 2020 – Oct 2021 · 1 yr 1 mo

Client: Procter & Gamble
Designed and developed a cloud-based rule engine for tele sales daily call plans, selling, and order-taking portal, integrating AI/ML models to optimize call scheduling and prioritize high-potential opportunities, thereby connecting remote stores directly to FMCG supply chains.
Provided product Listing, promotions and personal recommendations for each store based on their sales opportunities.
Implemented code for calculating productivity, targets, achievements, and sales needed at various levels for store and tele sales dashboards on Salesforce, embedding AI/ML-based forecasting models to predict sales trends and performance metrics.

SQLPythonExtract, Transform, Load (ETL)Data EngineeringAzure Data FactoryApache Spark+8

Senior Data Engineer

Promoted

Jan 2020 – Sep 2020 · 8 mos

Client: Procter & Gamble
Developed scripts to scrape data of multiple multinational e-commerce platforms.
Wrangled collected data using PySpark to allow identification of promoted products, stock information, discount depth and create price index strategies against competitor products and brands.
Provided analysis on scraped data to understand the presence of FMCG and competitor on retailer’s website, to enable the team to strategize the bundling of products.

SQLPythonExtract, Transform, Load (ETL)Data EngineeringAzure Data FactoryApache Spark+8

Data Engineer

May 2019 – Dec 2019 · 7 mos

Client: Procter & Gamble
· Performed analysis for growth, achievement of forecasted data and campaign effectiveness by measuring conversion tracking.
· Performed compliance analysis of online FMCG content and their online presence searches using computer vision model.
· Developed, revised, modularized and optimized old code bases to reduce operating costs and improve functionality.

SQLPythonExtract, Transform, Load (ETL)Data EngineeringAzure Data FactoryApache Spark+8

Artificial Intelligence Engineer

Oct 2018 – May 2019 · 7 mos

· Built robust object detection pipelines to identify dispersed or misplaced items in aisles, streamlining inventory management and enhancing operational efficiency through automated alerts to store staff.
· Implemented anomaly detection algorithms for monitoring temperature irregularities in refrigerated sections using thermal imaging and real-time sensor integration, ensuring product safety and reducing energy waste.
· Developed person detection and tracking algorithms to monitor crowd density and identify aisle blockages, optimizing store traffic flow and improving customer experience.
· Integrated AI-based alert systems for anomalies such as fridge doors left open, cleaning requirements, overcrowded aisles, and low-lit areas, driving improved supermarket operations and customer safety.

PythonArtificial Intelligence (AI)