Ishank Shrivastava

DevOps Engineer

Noida, Uttar Pradesh, India7 yrs 6 mos experience

Highly Stable

Key Highlights

Over 6 years of experience in data analysis and visualization.
Expert in SAS, SQL, and Snowflake for data engineering.
Proven track record in delivering actionable business insights.

Stackforce AI infers this person is a Data Professional specializing in Healthcare analytics and data engineering.

Contact

ishankshrivastava1993@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringData MigrationData AnalysisStatistical Analysis

Other Skills

SASSnowflakeData ValidationCode RefactoringUser TrainingData IntegritySAS (Programming Language)Statistical Data AnalysisSAS MacrosData Hygiene ChecksSQLSAS BaseDigital MarketingGrowth MarketingData Governance

About

Ishank is a Data Professional with over 6 years of experience in data analysis, data visualization, reporting, and statistical data analysis. He is proficient in SAS Base, SAS Macros, SQL, Tableau, Snowflake and SAS Enterprise Guide and specializes in data extraction, transformation, and visualization. His expertise includes process optimization and delivering actionable insights to support business decisions. With a strong analytical mindset and technical proficiency, he excels in transforming complex datasets into meaningful results.

Experience

7 yrs 6 mos

Total Experience

3 yrs

Average Tenure

1 yr 4 mos

Current Experience

Persistent systems

Senior Engineering Lead

Jan 2025 – Present · 1 yr 4 mos

· Leading the migration of SAS-based analytics workflows from on-premises Teradata environments to Snowflake cloud data platform for the world’s largest healthcare client, ensuring minimal business disruption.
· Providing end-to-end support for 1500+ SAS users, including data validation, code refactoring, and user training for Snowflake adoption.
· Developing conversion scripts and standardized procedures to automate the transfer and validation of large healthcare datasets, optimizing performance and data integrity throughout the project.
· Collaborating with cross-functional teams to troubleshoot migration issues, streamline SAS connectivity, and enable seamless analytics on the new Snowflake architecture.
· Documenting best practices, migration checklists, and post-migration support processes, enhancing long-term platform sustainability and user productivity.

SASSnowflakeData ValidationCode RefactoringUser TrainingData Integrity+2

Insta iq

Freelance

Nov 2023 – Jan 2025 · 1 yr 2 mos · Delhi, India

SASSAS (Programming Language)

Hero vired

Operations Associate

Sep 2021 – Oct 2023 · 2 yrs 1 mo

Project: Revenue Growth Analysis
· Deliver data driven analysis to investigate key business issues relating to customers markets, products and channels, and use this insight to drive business growth.
· Identify performance trends, customer behaviors and commercial opportunities and risks through quantitative analytical skills and statistical data analysis (Descriptive, Predictive).
· Perform testing and debugging of SAS applications.
· Deploy SAS Macros to perform complex calculations, aggregations and generating reports to derive meaningful insights.
· Leverage data driven analysis to understand customer behavior, product and financial performance to then help to maximize product performance, support product plans and drive key strategic initiatives.
· Implement data hygiene checks and validation processes on large-scale datasets from various sources including ORACLE databases, digital platforms, and third-party data providers to ensure the accuracy and integrity of the data.
· Utilize SAS and SQL joins to identify customer segments, behavior patterns, and preferences.
Project: Digital Transformation - Customer Engagement
· Contribute to the design, test and build of complex information across multiple decision engines to identify causal links between customer behavior and business opportunities and performance.
· Analyze user data to optimize customer engagement via behavioral analysis of customers.
· Execute Base-SAS techniques for slicing and dicing of data, data extraction, validation and manipulation.
· Generate Daily/Weekly/Monthly/Quarterly reports using SAS in EXCEL, RTF and PDF format to communicate key findings, trends, and insights to stakeholders.