Forte Group’s Post

Starting a career in data engineering can be overwhelming, but don't worry! There are free resources available to guide you in your journey. Darshil Parmar website and YouTube channel offer great tools to help you learn and improve your data tech skills. Check it out and take the first step towards a successful career in data engineering! 😀

Just a quick appreciation post for the content from Jesse Anderson. Just came across https://lnkd.in/dqj-R29S - and I fully agree with his perspective: You need to absolutely get skilled Data Engineers! Also check out his book if you have space on your reading list. I read it last year and it is well worth the read and part of the books I recommend internally as well. https://lnkd.in/dAJPzRzn The productivity factor of data teams that deliver well and those that do badly is easily several orders of magnitudes. https://lnkd.in/dW436jhq

I wish someone had given me this guide when I started 5 years back. Here's a straight forward Data Engineering path for you. ♻️ Repost if you find this post Useful. ➕ Follow Abhinav Singh for Daily Insights on how to Grow your Career in the Data field.

Meet Vinny Maurici, VP of Data Engineering at Object Edge. In a nutshell, Vinnie is a data optimization specialist. Over the years, our databases become a cluttered mess. I look at my own experience with the hodgepodge of methods in product items databases, and can't help but see the value in his expertise. Here's the bonus - he comes from a distribution background. He understands us, and knows how to unravel years of garbage in. https://lnkd.in/g4y-3bDT #dataoptimization #cleanitup #dataintegrity

I thoroughly enjoyed writing this piece and am excited about future opportunities to dive deeper into data-related topics. If you're interested in Data Engineering, check out the full article here! https://lnkd.in/genuvNGH

Most engineers I know (myself included) like to create "stuff" efficiently, often even more than they like to create the "stuff". We are trained to build in a way that would produce positive outcomes for whoever will use our creation thus efficiency is a big part of it: - How long will it be until someone can use it? - Will it last once we deliver it? - How much will it cost us? Join Hannan Kravitz, Guy Biecher, and myself as we dive into what the above means for the efficient data engineer. https://hubs.li/Q02-s9D90

I've been MIA for a while 😅, but I’ve picked up my pen to share some thoughts on how data engineers can enhance their ability to deliver value to their organizations. Check out my latest Medium article and let me know what you think!

Recently, I came across an excellent video that provides a comprehensive overview of data roles, from start to finish. If you're interested in exploring this topic, I highly recommend checking it out here: [https://lnkd.in/dguUqGwJ].

My data journey hasn't ended with the completion of a bootcamp, ever since I finished the Ironhack Data Analytics Bootcamp I've been constantly working on improving my skills, reviewing the basics and acquiring new ones using DataCamp.

Tanking my first steps into the Data Engineering world!