Testimonials
I had a 1:1 resume session with Rohit. He gave me helpful tips on how to structure my work experience in a way that makes more sense to hiring managers.
Rohit gave a thorough breakdown for a FAANG DE interview. His insider perspective was very insightful, offering a clear view of the process and what’s expected from a candidate.
Rohit is an extremely knowledgeable person in field of data engineering, we discussed important topics for DE interviews, His suggestions were really helpful since he himself has taken lot of interviews. Thankful for his guidance.
Rohit provided me with a holistic understanding of Data Engineering—guiding me on which core concepts to focus on, how to structure my preparation, and how to learn with an interview-oriented mindset. His ability to simplify complex topics and offer practical insights helped me build both technical confidence and clarity. Rohit's deep expertise in Data Engineering and his mentorship significantly shaped the way I approached the field.
Services
Video meeting . 30 mins
5
Data Engineering - 1:1
Discussion about building career in data engineering
Video meeting . 30 mins
5
About me
I am a graduate student at Mays Business School and Certified AWS Cloud Practitioner completing my Master's in Management Information Systems. I have worked at Tata Consultancy Services as an SAP Technical consultant in the Manufacturing Industrial Solution Unit on a major Application Development and Maintenance project.
My Technical Competencies are:
Programming - Python, SAP ABAP, SQL, Linux Scripting (Proficient) and Java, R, Scala, NodeJS (Learner)
Cloud Computing Tools - Amazon Web Services (AWS) || EC2, S3, EBS, IAM, VPC, Elastic Load Balancer (ELB), Auto-Scaling, RDS, DynamoDB, RedShift, Kinesis, SageMaker, AWS Cost Management ||
Databases / DBMS - MySQL, MS SQL, MariaDB, MongoDB, Cassandra
Big Data Tools - Apache Spark, SparkSQL, Airflow, PySpark, Hadoop MapReduce, HiveQL, Zepellin, HDFS, Spark Streaming, Apache Kafka
DevOps Tools - GitHub, GitLab, Chef, Puppet, Ansible, Docker Containers, Kubernetes, Openshift, AWS - (CodeBuild, Code Pipeline, Cloud Formation, Elastic BeanStalk)
Visualization Tools - Tableau, Kibana, Python Libraries (Matplotlib, Seaborn, Plotly), R package (ggplot)
Data Structures and Algorithms - Arrays, Linked List, Stacks, Queues, Hash Tables, Binary Trees, AVL Trees, Heaps, Tries, Sorting Algorithms (Bubble Sort, Insertion Sort, Merge Sort, Quick Sort, Counting Sort, Bucket Sort), Search Algorithms (Binary Search, Ternary Search, Exponential Search)
Machine Learning Models - Linear Regression, Logistic Regression, Linear Discriminant Analysis, Classification and Regression Trees, Naive Bayes, K-Nearest Neighbors, Support Vector Machine. Random Forest, XGBoost
IDE and Notebooks - IntelliJ, Visual Studio Code, PyCharm, Jupyter Notebook, Google Colab
Information Security - Qualitative and Quantitative Risk Assessment of IT infrastructure, Audit Security Policies, Penetration Testing and Vulnerability Scanning using Kali Linux, Google Hacking, Port Scanning and Fingerprinting, DES and AES key Encryption, RSA, Diffie Hellman Key Exchange, Firewall and Access Control Management
System Designing Tools and Techniques - Requirement Gathering and Stakeholder Analysis, Data Flow Diagrams, Entity Relationship Diagrams, Unified Modeling Language, User Story, Wireframing, Mockups