Testimonials

  • I recently attended a career guidance session led by Shiza Arshad, and it was truly insightful and inspiring. Shiza's in-depth knowledge and practical advice provided a clear roadmap for achieving my professional goals. Her ability to connect with the audience and address individual queries was impressive, making the session both engaging and highly relevant. I left with a renewed sense of direction and confidence in my career path. Highly recommend her sessions to anyone seeking guidance and motivation!
    ABHISHEK SEAL
  • She has thorough understanding of end to end Data Engineering. Her feedback will really help me to learn about Data Engineering.
    Anonymous
  • I had the pleasure of speaking with Shiza, and I was thoroughly impressed by her expertise in her domain. Her responses were concise, clear, and highly practical, providing the clarity I needed to resolve my confusion effectively.
    Ahmed Yar Khan
  • Shiza is amazing and super helpful :)
    Anonymous

Services

Video meeting . 30 mins
5

1:1 Mentorship

$25
Video meeting . 30 mins
4.8

Career guidance

$25
Popular
Video meeting . 30 mins
4.5

Interview prep & tips

$25

Ratings and feedback

4.8/5
39 ratings
35
Testimonials

About me

• Currently working as a Big Data Engineer with Systems Limited. • Experience Designing and Architecting Large Scale Distributed Systems using various Big Data technologies. • Experienced on building complex high-performing Data Pipelines natively or microservices based. • Experienced in Big Data spark python and SQL. • Experienced in AWS cloud technologies. • I have experience in developing Big Data solutions on Amazon Web Services (EMR, Glue, RDS, S3, Step Functions, EC2, cloud formation, lambda, AWS Kinesis etc). I have also designed and implemented multiple S3 based Data Lakes on Amazon Web Services. For building Data Lake solutions and ETL pipelines, I have worked on distributed processing engines like Apache Spark on AWS EMR. • Experienced with big data frameworks. • Experience in developing automation pipelines, and integrate with AWS to invoke the step function and lambda. • Use AWS Athena to analyze data using s3 SQL. Simply point data in s3, define the schema and start querying. • Use AWS Redshift for Datawarehouse, copy data from s3 to Redshift for analysis. Cloud Technologies - Apache Spark, Hadoop, Redshift, Athena, Hbase, Docker, Elasticsearch,AWS Technologies.
  • Shiza impresses with detailed career guidance, personalized advice, and practical solutions in highly informative sessions.
    ai
    AI-generated based on testimonials
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