Professional Data Engineer – Resume – Asad Kardame

I'm Asad Kardame

Data Engineer and Data Scientist from UK, London.

I am good at Data Modelling.

I love Data Engineering

I have good knowledge of Fivetran and DBT.

I am passionate about ML

Hello! I’m Asad Kardame—a BigData Engineer from the UK, London. I have rich experience in Data Engineering, and Data Science and am passionate about Machine Learning. I love to talk with you about our unique.

  • Age 31
  • Residence United Kingdom
  • Freelance Available
  • Address London, UK
  • Phone +44 797 162 ****
  • E-mail asad@kardames.com

Services

Predictive Modeling

Develop and deploy predictive models using machine learning algorithms to forecast future trends and outcomes based on historical data patterns.

Data Pipeline Development

Create and maintain efficient data pipelines to facilitate the seamless flow of data from source to destination, ensuring accuracy and timeliness.

Data Exploration and Visualization

Explore and analyze data through statistical methods and create visually compelling representations, allowing for better understanding and communication of insights.

Database Management

Design and optimize databases for storage and retrieval of data, implementing best practices for data organization and access.

Statistical Analysis and Hypothesis Testing

Apply statistical techniques and hypothesis testing to draw meaningful conclusions from data, providing a foundation for informed decision-making.

ETL (Extract, Transform, Load) Processes

Develop and implement ETL processes to transform raw data into a usable format, enabling meaningful analysis and reporting.

Pricing Table

Popular
£ 600 day
  • Data Pipeline
  • Data Analysis
  • Automation
  • Data Engineering Expertise
  • Advanced Data Engineering
  • Data Warehousing Solutions
Premium
£ 800 day
  • Everything in Popular +
  • Advanced Data Engineering
  • Data Warehousing Solutions
  • Data Warehouse
  • Machine Learning new
Experience
2022 - Present
Experience
Azure DATA ENGINEER - EDF ENERGY.

Implemented end-to-end data pipeline automation using Azure Data Factory to ingest data from various sources into Azure SQL, reducing manual intervention by 40%.

2021 - 2022
Experience
AWS Data Engineer - SPIRENT COMMUNICATION.

Implemented a real-time data processing solution using AWS Kinesis and Spark Structured Streaming to handle high-velocity data for analytics.

2020 - 2021
Experience
Azure DATA ENGINEER - HSBC.

Engineered data processing workflows using Azure Databricks, facilitating advanced analytics on large datasets for customer experience personalization.

2018 - 2020
Experience
Senior Data Engineer - Siemens UK.

Designed and deployed scalable big data processing pipelines on Google Cloud Dataproc utilizing Spark for real-time data analysis.

2017 - 2018
Experience
BIG DATA Consultant - Aria Foods.

Designed and built scalable Big Data processing pipelines using AWS EMR to handle terabytes of data and employed Spark and Hadoop ecosystems for computation and storage.

2015 - 2017
Experience
Big Data Developer - Care UK.

Designed and implemented a real-time data processing pipeline using Spark Streaming and Kafka to handle high-throughput event streams for a financial services application.

2013 - 2015
Experience
SQL Database Administrator - Premier Foods Plc.

Collaborate as SQL Database Administrator with stakeholders, data scientists and data analyst teams on the infrastructure transformation.

Experience
Data Scientist - Bryanston Logistics Ltd.

Developed machine learning algorithm for the drivers behavior analysis, performance monitoring, and prediction analysis.

Experience
Senior Developer - CEE.

Led a team to develop the ecommerce website and Optimize the website and apps performance using latest technology.

Education
Education
University of Hertfordshire - London

Master's Degree in Advanced Computer Science with Research. Specialized in Artificial Intelligence and Machine Learning. 

Wrote my final thesis on Object detection and Depth Estimation of Lidar Image for Autonomous Vehicles.

Participated in academic research with SII Research Group UK on Mars Rover project.

Education
BE in Information Technology - India

Coursework - Git, Java, Python programming, JavaScript, C#, Data Structure and RDBMS.

Education
DE in Information Technology - India

Basics of programming, Information Security, Cyber Security, web pages development using HTML, CSS, and JavaScript, etc.

Technical Skills

  • Python
    95%
  • R
    80%
  • Scala
    92%
  • Data Warehousing
    87%
  • SQL
    90%

Languages Skills

  • English
    90%
  • Hindi
    95%
  • Urdu
    99%
  • Marathi
    85%

Coding Skills

  • Scala
    90%
  • SQL
    85%
  • C# / R
    85%
  • Python
    95%

Knowledge

  • AZURE / AWS / GCP
    90%
  • PySpark
    90%
  • S3, Lambda, IAM, VPC
    90%
  • Scala
    90%
  • Snowflake, Fivetran, DBT
    90%
  • Kafka, Databricks, Airflow
    90%
  • Power BI, Tableau, Plotly, Matplotlib
    90%
  • NumPy, Pandas, Tensorflow
    90%

Interests

Cricket

"In the world of cricket, I'm not just scoring runs; I'm crafting a story with every well-timed swing of the bat."

Camping

"Where others see a tent, I find my sanctuary – camping is not just a hobby, it's a journey into the heart of tranquility."

Gaming

"In the digital realm, I'm not just a gamer; I'm an architect of virtual worlds, where challenges are conquered, and adventures unfold."

Coding

"Lines of code are my poetry, algorithms my verses – in the realm of programming, I'm not just solving problems; I'm composing solutions."

Our Team

Testimonials

Science Insight

Unlock the power of data science and engineering. There are no fleeting trends, just a pursuit of excellence in understanding and leveraging data. Dive deep into the realms of data analysis, engineering, and science, focusing not on superficial styles but on the substance that fuels innovation. Your data is the essence; shape it with precision.

Choose the path of insightful exploration without constraints. Craft your data journey, whether it's through coding, machine learning, or analytics. In the world of data, where every bit matters, curate your personal narrative, embrace the essence of data fashion, and witness the transformation.

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