Advanced AWS Data Engineering Training

@chirgeo

As an experienced AWS professional, I have successfully designed and implemented complex data engineering solutions using the very same tools and services you wish to train your team on in this course. Through a hands-on apporach, I plan on incorporating my prior experience and knowledge to bring your team from an advanced level to that of an expert. Data storage, processing and ETL are more than just buzzwords for me; these concepts have been at the core of my career for years. I specialize in creating scalable, cost-efficient designs - something crucial for architects dealing with big data analytics. Moreover, given the challenge of remote teaching, my skills in crafting concise theory as well as utilizing white-boarding and live labs as instructional tools will be key. Some recent projects my team was commended for include bypassing web crawling limitations for sites like FaceBook, Google Maps, Craigslist etc., extracting data in detail and performing successful automated lead generation. The precision required to accomplish tasks at this scale combined with utilizing the best web automation tools available neatly aligns with goals of your training sessions when it comes to delivering practical exercises leaving participants confident enough to deploy a data pipeline alone. Let's schedule a call so we can explore how I can contribute further!

@gauravl3

Having successfully trained numerous development teams in various cloud computing and data engineering solutions, I am confident in my ability to deliver an advanced, hands-on AWS Data Engineering course that meets your team's specific needs. My deep understanding of AWS services like Glue, EMR, Redshift, Lake Formation, Kinesis, Lambda, and Step Functions have been instrumental in previous training programs I've conducted. I'll be able to illustrate real-world architectures and scaling strategies efficiently. In addition to AWS expertise, my experience with Hadoop will provide a valuable perspective for your team as well. I understand the ins and outs of data storage solutions, processing pipelines, ETL strategies, and big data analytics. My approach to training is not just theory-based but includes plenty of live labs and white-boarding sessions for optimized retention and engagement. By selecting me for this project, you can expect a detailed syllabus that will cover all relevant topics in 8-12 teaching hours or a schedule that best suits your requirements; comprehensive slides and lab guides paired with reference material; sample code used in demonstrations; and assessments for ensuring knowledge transfer. I am excited about the opportunity to build your team's capabilities in advanced AWS data engineering!