MUHAMMED SHINAS M — Data Engineer

💡 Microsoft Certified Fabric Data Engineer | Multi-Cloud Architect |Data Analytics & BI Specialist | PySpark | SQL | Power BI | GCP 3X | MICROSOFT 1X CERTIFIED 🚀 Results-driven Data Engineer with 5 years of experience designing and deploying scalable data solutions across Microsoft Fabric and Google Cloud platforms. I specialize in building modern data architectures using Medallion Layering (Bronze, Silver, Gold), enabling businesses to turn raw data into powerful insights. My expertise spans across the full data lifecycle—ETL/ELT, streaming & batch processing, data warehousing, and dashboards—using tools like PySpark, SQL, Fabric Notebooks, Power BI, SSIS, Synapse, Databricks and Azure Data Factory. 🔹 Ingest: Bringing structured & semi-structured data from REST APIs, WMS systems, SharePoint & flat files 🔹 Transform: Applying SCD Type 2, schema evolution, calendar logic using PySpark & SQL 🔹 Model: Building dimensional models, fact/dimension tables, and optimized warehouse layers 🔹 Visualize: Designing insightful KPI dashboards & reports in Power BI 🔹 Automate: Creating CI/CD-enabled pipelines with version control & error handling 🔹 Operate: Managing real-time & scheduled jobs using Fabric Pipelines, Azure Eventhouse, KQL 🧠 Proficient in both batch and real-time streaming solutions, delivering data architectures aligned with business objectives across logistics, finance, insurance, telecom & operations sectors. 🎯 Core Skills Microsoft Fabric | Data Pipelines | Python | ETL | PySpark | SQL | Databricks | Data Lakehouse | Power BI | SSIS | SSMS | Notebooks | WAREHOUSING | REST API Integration | Delta Lake | Azure Synapse | ADF | Azure Eventhouse | KQL | Dimensional Modeling | SCD Type 2 | Git | CI/CD | Agilev | Data Engineering | Data Analytics | ETL | Data Visualization |Business Intelligence 📚 Certifications ✔ Microsoft Certified: Fabric Analytics Engineer Associate(DP 600) ✔ Google Cloud Professional Data Engineer ✔ Google Associate Cloud Engineer ✔ Google Cloud Digital Leader ✔ Infosys Certified: Power BI, MySQL, GCP Associate Engineer I'm passionate about delivering clean, governed, and business-ready data — driving analytics, decision-making, and innovation through cloud-native platforms. 📬 Let’s connect if you’re exploring Fabric rollouts, big data engineering, or multi-cloud data strategies! #MicrosoftFabric #DataEngineering #PySpark #SQL #PowerBI #ETL #GCP #Lakehouse #StreamingData #DataWarehouse #CloudAnalytics #MedallionArchitecture

Stackforce AI infers this person is a Data Engineer specializing in multi-cloud data solutions and analytics.

Location: Al Khobar, Eastern, Saudi Arabia

Experience: 5 yrs

Skills

Data Engineering
Microsoft Fabric
Data Pipelines
Business Intelligence
Data Analytics

Career Highlights

Engineered scalable data solutions across multi-cloud platforms.
Delivered impactful Power BI dashboards for data-driven decision-making.
Achieved significant improvements in data processing and accessibility.

Work Experience

Starlinks

Data Engineer-Product Development Specialist-IT (1 yr 3 mos)

Confidential

Data Engineer (8 mos)

Infosys

Epixel Solutions Pvt. Ltd.

Software Engineer | Python | Data Analytics |Data Engineering| SQL (1 yr)

Epixel MLM Software

Software Engineer (9 mos)

Education

Bachelor of Technology - BTech at Jawaharlal College of Engineering and Technology (JCET), Ottapalam

Higher secondary at Kalladi Higher secondary School

Sslc at Met english medium Higher secondary school

MUHAMMED SHINAS M

Data Engineer

Al Khobar, Eastern, Saudi Arabia5 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Engineered scalable data solutions across multi-cloud platforms.
Delivered impactful Power BI dashboards for data-driven decision-making.
Achieved significant improvements in data processing and accessibility.

Stackforce AI infers this person is a Data Engineer specializing in multi-cloud data solutions and analytics.

Contact

Skills

Core Skills

Data EngineeringMicrosoft FabricData PipelinesBusiness IntelligenceData Analytics

Other Skills

SQLPySparkPower BIKQLDatabricksAzure Data FactoryREST APIsWMS systemsFlat filesAzure Data EngineeringPythonSSISData MigrationETL TestingAzure Data Lake

About

Experience

Starlinks

Data Engineer-Product Development Specialist-IT

Dec 2024 – Present · 1 yr 3 mos · Al Khobar, Eastern, Saudi Arabia · On-site

● Engineered a Logistics data domain using Microsoft Fabric, employing Medallion architecture; decreased data processing by 50% and improved data accessibility for 50+ analysts.
● Orchestrated the creation of scalable data ingestion pipelines for REST APIs, WMS, SharePoint, and flat files, processing 5M+ records daily; ensured 99.99% data pipeline uptime.
● Developed PySpark and SQL transformation pipelines implementing SCD Type 2, schema evolution, and calendar logic, improving data accuracy and supporting 100+ business KPIs.
● Designed dimensional data models with optimized fact and dimension tables, improving query performance by 30% and enabling 20+ business report
● Enabled data-driven decision-making by providing Power BI KPI dashboards and reports for 30+ users, increasing visibility into operational and performance metrics.
● Implemented CI/CD pipelines with version control and error handling, reducing manual deployment effort by 50% and improving workflow reliability
● Monitored and operated real-time and scheduled pipelines in Fabric and Azure Event Hubs using KQL, achieving 99% job success rate and minimizing downtime for analytics reporting.
● Tools used: Pyspark, SQL, Fabric Notebooks, Power BI,KQL Synapse, Databricks and Azure Data Factory Pipelines,DBT,Airflow,Restful API
Engineered end-to-end data pipelines using Microsoft Fabric, PySpark notebooks, and REST APIs to ingest 3PL and ecommerce data, achieving 90% integration of operational systems.
Deployed Medallion architecture (Bronze-Silver-Gold) in Lakehouse and Data Warehouse, also enabling governed data layers with clear ownership, lineage, and quality checkpoints across datasets
. Automated ETL/ELT pipelines for batch processing, achieving 98% pipeline success rate with timely, reducing manual intervention by 40% and strengthening data quality compliance controls
. Built Power BI dashboards and KPIs, driving 90% customer adoption and actionable insights for SLA monitoring.

SQLPySparkPower BIKQLDatabricksAzure Data Factory+2

Confidential

Data Engineer

Feb 2024 – Oct 2024 · 8 mos · Kerala, India · Hybrid

.Delivered end-to-end Azure data engineering solutions using Microsoft Fabric, spanning ingestion, transformation, storage,
and analytics layers.
Produced Power BI dashboards and semantic models for operational and management reporting, driving real-time insight
adoption across teams.
Optimized transformation logic via PySpark and SQL tuning, achieving a 25–30% reduction in processing time as data
volumes scaled.
Applied data quality and reconciliation controls across pipelines, lowering reporting discrepancies and increasing stakeholder
confidence in metrics.
Coordinated pipeline orchestration and monitoring using Azure-native services, ensuring secure access, scheduling, and
robust error handling.
Partnered with analytics and business teams to convert requirements into production-ready data models and dashboards

Microsoft FabricPower BIPySparkSQLData EngineeringBusiness Intelligence

Infosys

Data Engineer| |Business intelligence Developer | ETL Developer|Data analytics|Python| Power BI|SQL

Dec 2021 – Jan 2024 · 2 yrs 1 mo · Trivandrum · On-site

Worked in various domain such as Data Analytics, Business Intelligence, SQL, Python, ETL tool such as SQL, SSMS, SSIS,
SSRS, SSAS, Data Engineering, Power BI, GCP
Led data migration projects using SQL, Oracle, and SSIS, successfully transferring 100% of business data with zero data
loss
● Analyzed large datasets, identifying key trends and insights, resulting in a 20% improvement in business decision-making.
● Elevated data quality by 35% through comprehensive data profiling, validation, and cleansing techniques.
● Created reports and dashboards in Power BI, increasing data visibility for stakeholders by 25%
● Guaranteed data integration standards, supporting project development and enhancing data modeling accuracy; reduced
data discrepancies by 25% and bolstered system reliability by 35%
● Mastered advanced data analysis, BI, and ETL techniques through 80+ hours of online courses and industry conferences; that strengthened decision-making processes and analytical capabilities
 Skills: Data Analytics, Python, SQL, Oracle, Power BI, WebFocus, Big Query, GCP, SSMS, SSIS, SSRS

SQLPower BIPythonSSISData EngineeringBusiness Intelligence

Epixel solutions pvt. ltd.

Software Engineer | Python | Data Analytics |Data Engineering| SQL

Nov 2020 – Nov 2021 · 1 yr · Palakkad · On-site

Developed and executed new features and functionalities for the ecommerce web application using Python, resulting in
a 20% increase in user engagement.
 Applied client requested features into software and collaborated with cross-functional teams to develop and test new
functionality, resulting in a successful product launch with zero critical issues reported by clients.
 Championed data quality and integrity by implementing data governance best practices, including data cleaning procedures
and validation checks.
 Provided technical support and training to business users on data access and utilization
 Developed and maintained interactive dashboards using Power BI to effectively communicate data insights to stakeholders,
leading to a 35% reduction in production errors.
 Collaborated with business stakeholders to understand data requirements and translate them into actionable data solutions.
 Skills: HTML, CSS, Bootstrap, SQL, Python, Django, JavaScript, NodeJS, PostgreSQL, Oracle, Data Analytics, ETL

PythonSQLPower BIData EngineeringData Analytics

Epixel mlm software

Software Engineer

Nov 2020 – Aug 2021 · 9 mos · Palakkadu, Kerala, India

Developed and executed new features and functionalities for the ecommerce web application using Python, resulting in
a 20% increase in user engagement.
 Applied client requested features into software and collaborated with cross-functional teams to develop and test new
functionality, resulting in a successful product launch with zero critical issues reported by clients.
 Championed data quality and integrity by implementing data governance best practices, including data cleaning procedures
and validation checks.
 Provided technical support and training to business users on data access and utilization
 Developed and maintained interactive dashboards using Power BI to effectively communicate data insights to stakeholders,
leading to a 35% reduction in production errors.
 Collaborated with business stakeholders to understand data requirements and translate them into actionable data solutions.
 Skills: HTML, CSS, Bootstrap, SQL, Python, Django, JavaScript, NodeJS, PostgreSQL, Oracle, Data Analytics, ETL