Data Engineer

Implementing projects using Machine Learning and Data Science is our core forte since we are working on it for more than 5+ years now. We are a team of 50+ developers who have successfully delivered 350+ Machine Learning Projects since now. We also outsource developers on monthly basis as wel as hourly basis. The recent project we worked on was to create data pipelines, which used millions of data points, for the identification of the best strategies to increase the effectiveness of professional educational events (specifically those events for medical device training all across the USA and elsewhere). This project was implemented for one of the world's largest and top fortune 500 companies "Johnson & Johnson". Apart from this tech stack, we do have hands-on experience in Deep Learning, Python, Neural networks, Data Science, Artificial Intelligence, NLP, NLTK, Computer Vision and so on which would be helpful in working on this project. Let's have a short call to discuss further & to put a point, why are we the best fit for this project. Thank you! Note: There is not much clarity about the project proposal, so please don't focus on the given quote. Post our discussion, we can share an actual ballpark estimation

Hello There I can help you with a Azure Data Professional. Can we connect for the quick discussions.? Certifications: 1. AZ-104: Microsoft Azure Administrator 2. AZ-400: Designing and Implementing Microsoft DevOps Solutions 3. Microsoft Certified Trainers (MCTs) and many more.. I am having a certified team of DevOps Engineers who have 1 to 5+ years of work experience. Having successfully completed many projects. I can show you the work samples once we communicate. Expertise with: 1. Knowledge of major cloud service providers, like Azure, AWS, Google 2. Tools like Azure sentinel, Log analytics query, Automation account, and patches. 3. Configuring Docker and Kubernetes ( deployment ), VPN, and enabling it. 4. Configuring and running pipelines ( continuous integration) 5. Retrieving Logs through KQL language 6. Azure Data factory, Databricks, Azure Data Lakes, Azure Data Pipeline, Synapse, Azure Sentinel, Azure logs, Azure email rules updation, Azure cognitive services, Outlook services, etc. Looking forward to working with you. Thanks & Best Regards, Imtiyaz

I have experience with building, operating and maintaining scalable data pipelines, primarily on AWS.

I have worked on various projects in Azure environment that involves Pyspark, Scala, ADF, SQL, ADLS, etc.

I am a data engineer having exposure to ETL pipelines development on various cloud platform AWS, AZURE, Informatica Cloud Services , snowflake using programming languages like python, pyspark, SQL.