❖ Aspiring Data Engineer with over 3+ years of industry experience in Full Stack Development and providing end-to-end client deliverables within given deadlines. ❖ Reasons for pursuing Masters in Data Science (Data Engineering) 🎓1️⃣ Data Engineering has a huge future potential and challenges. I can transition really well into this industry since there is a significant overlap of the tech stack in Software Development and Data Engineering. 2️⃣ I can leverage my prior experience of SQL and Programming and use it as it stepping stone to become a big data/ data engineer by learning big data tools and methodologies. 3️⃣ I definitely want to understand how big organizations process such huge volumes of data and based upon this data "HOW" the organizations exploit the data/ big data to bring insights for driving business decisions? 📊📈❖ Fully engrossed into understanding Big data tools and terminologies like Hadoop and different ecosystems like Sqoop, Hive, Spark and performance tuning and optimizations ❖ Have a good command over Python, SQL, AWS platform, Microsoft AZ-900 certified ❖ Why I am a good fit ❓I bring to the table my prior work experience where I have been providing programming solutions and working on SQL and I have evolved/ am evolving to learn new big data tools and terminologies to become a better version of myself. Better me -> Better I can contribute to the organization❖ Glimpse of future 🔍 I see myself working in challenging and exciting data engineering roles with strategy + technology mix to make a greater impact. ❖ To achieve my personal and professional goals 🎯 Dedication, Smart work, Sincerity, Curiosity are the Skills I leverage upon I believe in continuous upskilling and learning is the key to be successful. I strive for excellence.Always up for two things: Coffee and Conversation ☕#womenintech #womenindata #womenintechnology