Ankur has been a very supportive mentor during my preparation days. His mock interviews provided valuable insights into industry standards and helped me gauge my position.
Somtirtha Mukherjee
Pinned
I reached out to Ankur for Big data related project queries . Even with his busy work schedule, he made sure he clears my doubts whenever possible. highly recommend him for project related discussion
Sakshi Karwa
I've been preparing on my own for a while but kept hitting walls in interviews. In just one conversation with Ankur, I understood exactly what I was doing wrong and how to fix it. Ankur is very straight to the point with practical advice. Worth every minute. :)
Afzal
Very Helpful
Gurram Sowmya
Had a Good session with ankur, he has good expertise and he is guidance is really helpful for my interview.
Anonymous
Ankur holds great depth in data engineering concepts. I appreciate his guidance and industry needs such mentors more.
🔹 About Me:
With over 9 years of experience in the IT industry, I am a passionate data engineer specializing in big data batch processing and creating robust data pipelines. My expertise lies in leveraging cutting-edge technologies and frameworks like Spark, AWS, Azure, Airflow, Python, Scala, and the Hadoop ecosystem to deliver scalable and efficient data solutions.
🔹 Technical Skills:
I am proficient in a wide range of tools and technologies, including Spark, AWS (S3, EMR, Lambda, CloudFormation, CloudWatch, Redshift, Athena, EC2, AWS Glue), Azure Databricks, Azure Data Factory, and ADLS Gen2. My strong command over SQL enables me to handle complex data manipulations and extract valuable insights.
🔹 Project Highlights:
In my first project, I successfully processed search engine impression data, dealing with a massive log volume of 5 to 6 GB per hour. Utilizing low-level Spark API like RDD, I implemented intricate filtering algorithms based on specific business logic. By creating sessional campaigns for targeted products in different regions, I enabled powerful insights, which were then pushed to BI tools for further analysis. This project was executed on-premise, showcasing my ability to handle demanding data processing challenges.
In my second project, I spearheaded the processing of credit bureau data for a prominent US-based client. My role involved implementing diverse pipeline strategies to gain comprehensive insights into the US population, including understanding the efficacy of various offers and tracking credit history. This project was hosted on AWS EMR, and I played a significant role in designing the pipeline architecture, collaborating with stakeholders, and training team members.
🔹 How I Add Value:
I have made significant contributions in designing and implementing robust data pipelines throughout my career. Working closely with cross-functional teams, I have not only successfully solved complex data-related challenges but have also trained and mentored team members to enhance their skills. If you are looking for a data expert to tackle your data-related problems and architect powerful solutions, let's connect!