Hi everyone. I'm aka from the Trust King, and I do have 14 years of experience in the data ing tools such as Informatica exercise. Data stage and Matillion, and also having experience in the reporting tools such as SSRS Cognos and also having vast experience in the backend databases such as Sequence Server, ours, snowflake. And I am exit to talk to you today about how ing the multiple data integration tools can be a game changer in your data engineering career. The data ecosystem is evolving rapidly. Demand is shipping from the tools specialist to the S integrators. Let me share a quick personal observation. Like when I started a career, I slowly focused on the informatic. It served me well, but I soon realized like job roles demands broader efficiency across the multiple platforms, especially in the hybrid and the cloud environment. So let me. Move to slide. So the ch let me explain about the changing landscape of the data integration. Year by year, the data complexities growing the, it's demand for the more data sources like APIs, streaming internet, other things on premises on a hybrid, cloud hybrid and also for the diverse consumers like BI tools, my pipelines, and business apps. And nowadays, like traditional tools no longer fit in all needs. So the employees started moving to the multi tool strategies for flexibility on the scalable team. Let me provide an example where a retail company may use Informatica for the bulk data warehousing. And AP fee for I got streaming and telling for the cleansing and for the data governance. Let me move to the next slide. Why multiple skills made means like if the professional skill with the multiple tools they can demand up to 42% has salaries and add advance like 3 5, 3 0.5 faster in the career. Growth and the benefits of a multi tool skills, like a better job mobile team and increase the leadership opportunities and probably solve edge and cloud readiness. Let me move on to the n slide where we have a market analysis. So if you look this chart these are the tools like which has like a high demand, informatica and Apache and AWS Q, Microsoft, a D, F these are the major major do dominated tools. So coming to the next slide we have three key platforms. One is Informatica, it is the in the healthcare industry. So it is these are the key features like AI power solutions and deep health integrations and the enterprise scalability. And then coming to the tail end it is enterprise grade with the broad connectivity options. Like it has unique features like the unified platform on the. Robust governance and the cloud native options. And like when coming to the Apache initially it's one of the fortune finer data first with the visual programming. So where we have the key features as like a drag and drop interface. Real time processing and provision and seeing tracking. And also, apart from these, like we do have AWS glue and the, and data factory where it has like serverless cloud native supports transformation via spark pipelines. And coming to the glue, so glue good for the metadata catalog and the schema discovery. Let me move on to the next slide. So by using these tools, these are the critical capabilities where like we can, automate like the workflows up to 5% and 68% for the data quality management, and 42% for the advanced processes. Let me move on to the next slide. This are the real time case studies. One of the example is the FinTech success. If you see here, the challenge for the FinTech is where they have a complex language systems with 200 data sourcing data sources. So this are causing like increasing the cost. So for this challenge, like the better solution is adopting like a multiple integration. So by using either the, on the talent orchestrations, so the better. So by using this approach the best result is they can say $2.8 million amount and also stiff first and first crossing and coming to the second example. Where they allocate transformation like by using the Informatica tool for client processing, it's taking around like 48 hours for the data processing with them. And also they are getting the frequent errors like so to work on this, like they implemented like different approach the real the real time integrations. So they improved, like validation, reducing errors by 75%. Nearly the real time process with 98.8 accuracy. Let me move on to the, on next slide, like the next slide that talks about learning the framework. So first of all, like we need to be, have a foundation building. And in the foundation building, like we have like a. The key features, like a complete option, certifications and better to have multiple products, practices, and then. You need to have have expansion phase, like you add a second platform and identify the similar pattern and solve the same problems differently. And also have like integration mastery so command to strategy drive to develop a project like by using one or more tools, so the, coming to the next slide it's a skill development roadmap where we have a learning practice and applying and sharing. So when coming to the learning you need to have a strategic course and documentation and you need to have a practice, hands on the practice, hands on the project implementation, and also apply like when doing the practice, apply, the reward implementation at work, and also whatever, can share like with the community community, and also can participate can participate on mentoring. So coming to the next slide so the way of the tool masteries the career investment so structural learning tool like four to 60 was of the targeted goals. So we do one 20 hours of building up so realtime solutions. And professional returns are like you can measurably carry advancement within 60 to 12 hours. And coming to the final impact, right? You have a 15 to 25 platform. So it's going to be like immediate based composition increase and performance bonus ification. So coming to the next slide, like we have an action plan, like where we have the self-assessment and set platform goals and create a learning schedule and build across platform project, so when coming to the self-assessment, like you need to be current tool frequency where we are on that. And also coming to the platform goals. Choose the complement rules based on the current market demand. And also you should have to spend at least five to 10 hours with you to new platform skills and demonstrate the master tools integrated solutions. This solves about the multi tool skills. So if you have any questions you can drop me an email. Thanks for the, for providing this opportunity to.