Shikha Shah

Software Engineer

San Jose, California, United States10 yrs 3 mos experience
Highly Stable

Key Highlights

  • Expert in building scalable data pipelines.
  • Proven track record in data migration and optimization.
  • Strong background in Business Intelligence tools.
Stackforce AI infers this person is a Data Engineer with expertise in SaaS and Fintech environments.

Contact

Skills

Core Skills

Data EngineeringData Modeling

Other Skills

Data WarehousingApache SparkMicrosoft ExcelMicrosoft WordPHPPythonC#.NetBusiness Intelligence ToolsCrystalSSRSPowerBICore JavaHTML ScriptingPhpMyAdminVB.NET

About

Experienced Data Engineer with a demonstrated history of working in the computer software industry. Skilled in Microsoft Excel, Microsoft Word, PHP, Python and C#.Net and Business Intelligence Tools like Crystal, SSRS and PowerBI. Strong information technology professional with a Bachelor's degree focused in Computer Engineering from Marwadi education foundation.

Experience

10 yrs 3 mos
Total Experience
1 yr 9 mos
Average Tenure
5 mos
Current Experience

Apple

Software Engineer

Dec 2025Present · 5 mos · California, United States · On-site

Amazon web services (aws)

Data Engineer 2

Aug 2024Dec 2025 · 1 yr 4 mos · California, United States · Hybrid

  • - built scalable pipelines to store experimentation results and show trend for faster deployments or bug identification before fully launched to customers.
Data Engineering

Amazon

2 roles

Data Engineer 2

Mar 2024Aug 2024 · 5 mos · Bellevue, Washington, United States

Data Engineering

Data Engineer

Jul 2021Mar 2024 · 2 yrs 8 mos · Bellevue, Washington, United States

  • Owning migrating effort from complex legacy system to streamlined architecture with improved metrics using Native AWS services
  • (Glue, Airflow, OpenSearch).
  • Conceptualizing and developing search analytic dashboards using NAWS services, empowering sellers and vendors with crucial
  • sales statistics for informed financial decisions, including inventory planning and enhancing repeat purchase sales.
  • Implemented Airflow dynamic DAG creation, reducing manual effort for dashboard backfilling from 4 hours to just 1 hour, resulting
  • in a significant streamlining of our data delivery mechanisms.
  • Automated daily data integrity checks on QuickSight which provides an insight about regular updates on the latest data availability
  • to all vendors and sellers.
  • Developed a reusable data quality module, integrated with DynamoDB, leading to streamlined data delivery and a 25% reduction
  • in redundant code.
  • Optimized Glue ETL processing with a Spark job, reducing processing time for loading approximately 2TB of data from 19 hours to
  • just 4 hours, resulting in a 75% decrease in operational costs.
  • Implemented notifications and alert services for seamless monitoring of legacy data pipelines and reduced operational overload
  • by 17%.
  • Enhanced the OpenSearch ingestion process to seamlessly handle terabyte-sized indices without compromising customer read
  • requests or cluster health.
Data EngineeringData ModelingData WarehousingApache Spark

Facteus

Data Engineer

Dec 2019Jul 2021 · 1 yr 7 mos · Portland, Oregon

  • Automating and optimizing complex SQL scripts which are run manually by business users to generate weekly insights report using Python, helps to reduce manual effort by 80%.
  • Designed and developed new credit data warehouse for business users, having multiple data feeds and performed historical data migration of ~250TB using AWS Snowball.
  • Optimized data pipeline and ETL process to load huge volume of data from AWS S3 to Snowflake.
  • Migrated data from legacy loyalty system to new environment which caters as the central data repository for developing further data visualization reports in Tableau.
  • Developed and automated daily Data Quality and Integrity checks to provide an insight about the source datasets.
  • Built AWS Glue jobs to output data from Redshift cluster to S3 DataLake for analytical needs of Data Science team.
  • Implemented notification and alert services for seamless monitoring of data pipelines.
Data EngineeringData Modeling

Portland state university

6 roles

Research Intern

Oct 2019Dec 2019 · 2 mos · Portland, Oregon

  • Develop the code as part of Workflow Critical Path project which will include working with cloud computing and database technologies.

Graduate Teaching Assistant

Jan 2019Mar 2019 · 2 mos

Software Developer

Oct 2018Jun 2019 · 8 mos

  • I worked on LAMP based website having combinations of MySQL database with PHP, and jQuery.

Student Mentor

Sep 2018Jun 2019 · 9 mos

  • Being a student mentor is fun, you can assist your mentees with not only technical help but also help them being emotionally strong to have them face all difficult situations.

Grader

Sep 2018Jun 2019 · 9 mos

  • Systems Programming Class, Internet Protocol.
  • Added class: Object Oriented Programming.

Graduate Student

Jan 2018Jun 2019 · 1 yr 5 mos

  • Graduated!

City of portland

Software Developer Intern

Oct 2018Jun 2019 · 8 mos

  • Worked on BI tools such as Crystal, SSRS and Infomaker for BDS team to have the upcoming AMANDA software compatible with. I also wrote packages, procedures and functions to increment the capability of the software.

Ibm global business process services

System Engineer

Jul 2015Dec 2017 · 2 yrs 5 mos · Hyderabad Area, India

  • Worked with Standard Insurance Company as an Application Developer with below activities:
  • Change with Times is the necessity and following that, successfully completed the project that dealt with the conversionof Crystal reports to SSRS which included the involvement of different technologies like Mainframes, WCF services, Vba, Shell Scripting on SQL Server 2016 and 2012, where regular follow ups were taken through Scrum calls following Agile Methodology.
  • Performed activities like gathering requirement, compiling it, making sure of end to end testing using acquired insurance domain knowledge, uploading defects status to JIRA/Confluence for regular updates and uploading them to GitHub.
  • Worked to maintain the legacy applications of clients’ to not break the flow of their regular activities and monthly, quarterly, bi-quarterly batch scheduled crystal reports should be delivered to clients and external clients without any defects in calculation.
  • Developed an application which stand through different innovative ideas’ implementation, maintaining the existing consistency.

Education

Portland State University

Master's degree — Computer Science

Jan 2018Jan 2019

MARWADI EDUCATION FOUNDATIONS GROUP OF INSTITUTIONS-FACULTY OF TECHNOLOGY, RAJKOT-097

Bachelor's degree — Computer Engineering

Jan 2011Jan 2015

Stackforce found 100+ more professionals with Data Engineering & Data Modeling

Explore similar profiles based on matching skills and experience