Vetted Talent
Muhammed Suhail EK
Vetted Talent
As a Senior Data Engineer at EY, I lead and ensure the delivery of high-quality data solutions to our clients, collaborating with cross-functional teams and leveraging Azure Databricks, Spark, Python, and Azure Cloud technologies. I have saved time and money by implementing automations for data integrity validations and infrastructure management. In my role as an Azure Data Engineer at EY, I engineered a new analytic platform with a central marketplace for analytics discovery and a robust engine for deploying repeatable data solutions.
I have a Bachelor of Technology in Computer Science from APJ Abdul Kalam Technological University, where I gained a solid foundation in data engineering, data integration, data transformation, and machine learning algorithms. I am also certified in Python, Cloud, and Databricks. I am passionate about learning and exploring new tech opportunities, and I am always eager to expand my skillset and knowledge.
- Role
Data Engineer
- Years of Experience
4 years
- Professional Portfolio
View here
Skillsets
- SQL - 4 Years
- Python - 4 Years
- Big Data - 3 Years
- Spark - 3 Years
- DevOps - 3 Years
- Databricks - 3 Years
- Agile - 3 Years
Vetted For
9Skills
- Roles & Skills
- Results
- Details
Data EngineerAI Screening- 69%
- Skills assessed :Data Visualization, Azure SQL Server, Python Programming, Web Scrapping, .NET Framework, Azure, Azure Data Factory, PHP, SQL
- Score: 62/90
Professional Summary
4Years
- Apr, 2021 - Present4 yr 4 months
Senior Analyst(Data Engineer)
Ernst & Young Analytic Hub - Actionable Insights at scale - Apr, 2021 - Sep, 20232 yr 5 months
Associate Analyst(Data Engineer)
EY GDS
Applications & Tools Known
Python
SQL
ETL
Azure Databricks
Machine Learning
Azure DevOps
Azure Data Factory
Scikit-Learn
Azure Key Vault
Pandas
OpenCV
GitHub
BigData
Spark
Power BI
Matplotlib
PowerShell
Work History
4Years
Senior Analyst(Data Engineer)
Ernst & Young Analytic Hub - Actionable Insights at scaleApr, 2021 - Present4 yr 4 months
- During my role as a Data Engineer at Ernst & Young, I focused on creating and improving data pipelines in the Azure Cloud.
- Working closely with different teams, I managed how data was transformed and stored.
- I used tools like Microsoft Azure Data Factory and Data Bricks to make these pipelines work better, especially with big amounts of data.
- I also made sure the data we used was accurate by running tests and checks using PySpark. I automated some of our tasks, which saved a lot of time and made things run smoother.
- My skills include using Microsoft Azure tools, PySpark, SQL, Python, and other big data technologies.
- Tech stack: Spark, SQL, Delta Lake, python, Data Modeling, Azure SQL, HDFS, DevOps, ADLS Gen2
Associate Analyst(Data Engineer)
EY GDSApr, 2021 - Sep, 20232 yr 5 months
- Developed an internal product for EY, in order to handle internal analytics, the system served as a hub of analytics, which can be provisioned and used up on requirement.
- Day to day actions included creating/modifying Data Factory pipelines, developing data quality programs, orchestrate and onboard new clients and produce final analytics outcome.
- Tech stack: SQL ,Azure Data Factory (ADF), Databricks, Python, PostgreSQl, .net, CosmosDB
Achievements
- EY APPRECIATE - Excellence in team management award for demonstrating exceptional team spirit
- EY SPOT - Recognised for the dedication and ongoing contribution, Feather on the cap
Major Projects
3Projects
SKY-Analytics
EYFeb, 2023 - Present2 yr 6 months
- SKY- Analytics is re-platforming from MicroStrategy to PowerBI in Azure, managing data transformations, ingestion, and validations through collaboration with the BI, Data Modeling, and Platform teams.
- In this project, I demonstrated proficiency in Azure Cloud ETL pipeline development, data modeling, and automation. Utilizing Spark programs, I processed extensive datasets, ensuring seamless transitions across data layers.
- Leading the third phase migration, I delivered vital business tables for reporting, ensuring operational continuity. By embedding advanced SQL transformations, I accurately represented business needs.
- Implementing Python and PySpark automation scripts, I streamlined data compliance processes, reducing post-deployment time by 30%.
- Overall, my contributions enhanced data integrity, optimized operations, and showcased expertise in driving business outcomes within Azure Cloud, emphasizing efficiency, scalability, and innovation
Analytics Hub
EYApr, 2021 - Feb, 20231 yr 10 months
- I played a pivotal role in implementing Analytic Hub, a revolutionary platform facilitating collaboration among data enthusiasts.
- Leveraging Azure technologies including Data Lake, Data Factory, and Databricks, I constructed robust data pipelines for efficient analytics discovery and deployment. Additionally, I developed data-quality programs using PySpark and Databricks, ensuring the delivery of pristine data.
- Collaboratively, we devised a DevOps cleanup pipeline, saving significant time and costs across development environments.
- Optimizing existing pipelines led to a remarkable 3X acceleration in data processing, with 6 million records handled daily.
- This project epitomized innovation, efficiency, and impactful collaboration in the realm of data analytics.
Eye-X, Curser Control System
Nov, 2020 - Apr, 2021 5 months
- Created a cursor control system using Machine learning and computer vision, allowing users to control computers using facial movements and expressions (Check it here).
- Performed exploratory data analysis, data cleaning, model detection and parameter tuning for KNN model resulting in an accuracy of 97% and recall of 0.9 on true positive.
Education
Bachelor of Technology in Computer Science
APJ Abdul Kalam Technological University, MGM College of Engineering (2020)
Certifications
Databricks certified associate developer for apache spark 3.0
Az 900 - azure data fundamentals
Academy accreditation - databricks lakehouse fundamentals
Ai and machine learning - aura educational society