Tripti Jain’s Post

Data Engineers use PySpark for Large-Scale Data Processing and if you’re preparing for Data Engineering roles it is a must have. 💪🏻 It's crucial to master various concepts as it's asked in the interviews So, to help you prepare here's a guide to PySpark Huge thanks to Bosscoder Academy for sharing this doc. Check them here: https://bit.ly/48FPPZr Enroll in their program and get: ✅ Structured curriculum to master ETL & Warehousing, Big Data & Cloud, Advanced Data Ops, and more. ✅ Personalized guidance from experts working at Google, Samsung, and other top companies. ✅ Multiple projects focused on Big Data pipeline, data processing and other in-demand skills to build a strong portfolio.

PySpark is a must-have for large-scale data processing in Data Engineering roles. 💪🏻 It's crucial to master various concepts as it's asked in the interviews So, to help you prepare here's a guide to PySpark Huge thanks to Bosscoder Academy for sharing this doc. Check them here: https://bit.ly/49ydKuf Enrol in their program and get: ✅ Structured curriculum to master ETL & Warehousing, Big Data & Cloud, Advanced Data Ops, and more. ✅ Personalized guidance from experts working at Google, Samsung, and other top companies. ✅ Multiple projects focused on Big Data pipeline, data processing and other in-demand skills to build a strong portfolio.

Data engineers use PySpark for Large-Scale Data Processing and if you’re preparing for Data Engineering roles it is a must have. 💪🏻 It's crucial to master various concepts as it's asked in the interviews So, to help you prepare here's a guide to PySpark Huge thanks to Bosscoder Academy for sharing this doc. Check them here: https://bit.ly/4djyi9W Enrol in their program and get: ✅ Structured curriculum to master ETL & Warehousing, Big Data & Cloud, Advanced Data Ops, and more. ✅ Personalized guidance from experts working at Google, Samsung, and other top companies. ✅ Multiple projects focused on Big Data pipeline, data processing and other in-demand skills to build a strong portfolio. #pyspark #collab #data

Excited to share that I have successfully completed a 6-Month Industry-Intensive Cloud Masters Program in Big Data Engineering with TrendyTech! This transformative journey has equipped me with in-demand skills and real-world experience in Big Data and Cloud Computing. 💡 What Sets Me Apart? ✔️ Hands-on expertise in building end-to-end solutions using AWS Big Data Services (EMR, Redshift, Athena, Glue) ✔️ Proficiency in Spark Stream Processing and Kafka for real-time data handling ✔️ Mastery of Cloud-Based Distributed Processing Fundamentals with AWS ✔️ Skilled in orchestrating workflows with Airflow for scalable solutions 🎯 Highlight Project: I designed and implemented a Credit Card Fraud Detection System, leveraging Big Data technologies to deliver real-time fraud detection and enhance decision-making capabilities. 🌟 This program was not just about learning—it was about delivering real-world results, with industry-aligned tools and workflows. With Big Data reshaping industries. Looking forward to connecting with professionals in the Big Data, Cloud, and Data Engineering domains. Let’s work together to solve tomorrow’s data challenges! Special thanks to Sumit Mittal for his exceptional teaching methods #BigData #AWS #CloudComputing #Spark #Kafka

🚀 I'm happy to announce the achievement of the "Data Engineering in AWS" certification on Coursera! 🎓 This course represents an important milestone that strengthens my expertise in the dynamic world of data science. Sincere thanks to Krishna Srinivasan, whose profound knowledge illuminated my path to success. 🌐 Many thanks to Whizlabs and Coursera for creating a transformative learning environment! #DataEngineering #AWS #Coursera #DataScience 📊🔧

I’m thrilled to share that I’ve just completed the Data Engineering with AWS Nanodegree from Udacity I’ve dived deep into data modeling, building cloud data warehouses and data lakes, and mastering ETL pipelines using AWS tools like Amazon Redshift, AWS Glue, Amazon S3, Spark,and Apache Airflow. It was a great hands-on experience that strengthened my skills in solving real-world data problems using cloud-based tools.

Excited to share my Big Data course completion certificate! 🎓 Under the guidance of Sumit Mittal Sir in the Big Data Masters Program, I've gained deep insights into Data Engineering. From distributed processing fundamentals to AWS Cloud approaches, I'm equipped with the skills to tackle Big Data challenges.  A big thank you to Sumit Mittal for his outstanding teaching, and to the TrendyTech team for their invaluable support! 🚀  #BigData #DataEngineering #ContinuousLearning

Here are the Notes I took to get the Databricks Data Engineer Professional exam! These are my notes, not so deep but I believe you can use them as a guide to study further and go deep on documentation using the topics I highlighted. I took them handwritten but, chat GPT helped me transcribe them to create the medium post. All of them are listed here: - Study Notes about Databricks Data Engineer Certification Pro — Databricks Academy (https://lnkd.in/dkCCmeMv) In the first comment, you can find the individual links to the posts, and again, trust in your process. Keep it up!

Roadmap for becoming an Azure Data Engineer in 2024: 𝟭 - 𝗦𝗤𝗟: One of the most essential prerequisites for any data profile. Learn SQL for 𝗙𝗿𝗲𝗲 from here: https://lnkd.in/dmTTBQri 𝟮 - 𝗕𝗮𝘀𝗶𝗰𝘀 𝗼𝗳 𝗽𝘆𝘁𝗵𝗼𝗻: It is good to know at least essential of python if you are planning to become an azure data engineer 𝗟𝗲𝗮𝗿𝗻 python 𝗟𝗶𝘃𝗲 for 𝗙𝗿𝗲𝗲:  https://lnkd.in/dHKKXsUb 𝟯- 𝗔𝘇𝘂𝗿𝗲 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗻𝗰𝗲𝗽𝘁: Knowing the cloud concept is a must to have skills in today's time for any profile. 𝗟𝗲𝗮𝗿𝗻 Azure Basics 𝗟𝗶𝘃𝗲 for 𝗙𝗿𝗲𝗲 here: https://lnkd.in/dq_8G2QT 𝟰- 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗙𝗮𝗰𝘁𝗼𝗿𝘆: It is one the most commonly used orchestration tool as an Azure Data Engineer Learn Azure Data Factory From here: https://adeus.azurelib.com 𝟱- 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 / 𝗦𝗽𝗮𝗿𝗸/ 𝗽𝘆𝗦𝗽𝗮𝗿𝗸 : It is powerful and one of the most important pieces in becoming a Data engineer needed for Big data analytics Learn Azure Databricks / Spark/pyspark from here: https://adeus.azurelib.com 𝟲- 𝗔𝘇𝘂𝗿𝗲 𝗦𝘆𝗻𝗮𝗽𝘀𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: New buzzword in the azure data engineering world, a common workspace for data pipeline, data warehouse, and spark analytics. Learn Azure Synapse Analytics from here: https://adeus.azurelib.com 𝟳- 𝗔𝘇𝘂𝗿𝗲 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀, 𝗟𝗼𝗴𝗶𝗰 𝗔𝗽𝗽𝘀, 𝗔𝘇𝘂𝗿𝗲 𝗦𝘁𝗼𝗿𝗮𝗴𝗲, 𝗞𝗲𝘆 𝗩𝗮𝘂𝗹𝘁: Utility services are very handy for day-to-day work as a data engineer. Learn Azure Functions, Logic Apps, Azure Storage, Key Vault, Fabric & dimensional modeling from here: https://adeus.azurelib.com 𝟴- 𝗘𝗻𝗱 𝘁𝗼 𝗘𝗻𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Highly recommended to do at least 3 end to end real-world project implementations to master the concept learned: Get Real-world End-to-End Project from here: https://adeus.azurelib.com 𝟵- 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲: It is good to have skills as an Azure data engineer but not mandatory. Snowflake is getting a lot of popularity as a cloud data warehouse and analytics solution. Learn Snowflake from here: snowflake.azurelib.com 𝟭𝟬- 𝗥𝗲𝘀𝘂𝗺𝗲 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝗺𝗽𝗹𝗮𝘁𝗲 : Stop wasting time on resume preparation get data engineer Resume template for 𝗙𝗿𝗲𝗲:   https://lnkd.in/d4gxV8Ni 𝟭𝟭- 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻: Prepare for Interview: https://adeus.azurelib.com 𝗦𝘂𝗺𝗺𝗮𝗿𝘆: - SQL - Basic python - Cloud Fundamental - ADF - Databricks/Spark - Azure Synapse - Azure Functions, Logic Apps, Azure Storage, Key Vault - Dimensional Modelling - Azure Fabric - 3 End-to-End Project - Snowflake (Optional) - Resume Preparation - Interview Prep If you love this post 𝗣𝗹𝗲𝗮𝘀𝗲 𝗹𝗶𝗸𝗲 & 𝘀𝗵𝗮𝗿𝗲 𝘁𝗵𝗲 𝗽𝗼𝘀𝘁 𝘁𝗼 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 & 𝗺𝗼𝘁𝗶𝘃𝗮𝘁𝗲 𝗺𝗲. 𝗣𝗦: You can message me directly if you need any help in becoming Azure Data Engineer. #data #analytics #bigdata #Technology #programming

Excited to announce that I have successfully completed my Cloud Big Data Engineer certification 🎉. The Ultimate Big Data Master's Program has provided me with profound insights into the vast domain of Big Data. Key concepts covered in the program: -> Fundamentals of Distributed Processing and Distributed Processing on Cloud -> Exploring Pyspark -> Batch Processing -> Optimizations and Performance Tuning -> Hive -> Spark Stream Processing / Real time data handling -> Structured streaming with Kafka -> CICD (Git, GitHub) -> Azure Cloud Services: ADF, Azure Synapse, ADLS Gen2, Databricks and Unity Catalog, Delta Lake, Autoloader, Data Lake, Lakehouse, Data Pipelines -> AWS Cloud Services: EMR, Athena, Glue, Redshift Heartfelt thanks to Sumit Mittal and his exceptional teaching and to the TrendyTech team for their unwavering support and assistance. I am excited to leverage these skills and insights to drive impactful data-driven solutions in my career. #BigData #Datalake #Lakehouse #UnityCatalog #Azure #AWS #ContinuousLearning #CareerGrowth #CloudBigDataEnginner #TrendyTeh