Charting the Digital Seas: Discover Data and Innovation with Piyusha Sayal

Exploring the Future of Data Engineering and Innovation with Piyusha Sayal

Welcome! I’m Piyusha Sayal, Customer Data Engineer at Optimove, where I merge my passion for data with technical expertise to drive impactful insights and innovation. With a Master's degree in Information Systems from NJIT and years of experience in data engineering, I specialize in designing and implementing efficient ETL processes, developing data pipelines, and ensuring seamless data integration across cloud environments.

My journey is driven by a deep commitment to making data accessible and actionable for clients, optimizing workflows, and fostering data-driven decision-making. I collaborate closely with Data Science and Customer Success teams to troubleshoot challenges and enhance client onboarding experiences, using tools like SQL, Python, and AWS to build solutions that make a difference.

Beyond the technical realm, I’m a problem-solver at heart, always looking for ways to innovate and elevate business processes. Let’s embark on a journey to unlock the full potential of data and create solutions that pave the way for a more connected, data-empowered future. Together, we can transform raw data into strategic value, empowering organizations to thrive in today’s digital landscape.

Let’s connect and explore how we can shape the future of data together! 🚀✨

“Embrace the data, steer the ship, and chart your course to a future of boundless possibilities.”

Education

New Jersey Institute of Technology, Newark, United States

Master's in Information Systems (GPA: 3.95/4.00)

Punjab Engineering College, Chandigarh, India

Bachelor's in Electronics and Communication Engineering (GPA: 3.70/4.00)

Skills

Technical Skills

Python, SQL, R, C++
Power BI, Tableau
Statistical Modeling
Hadoop, Pyspark, Airflow
Cloud Computing
Web Scraping, Excel
Machine Learning
Alteryx, Stata
SAP, SAS
Agile Methodologies, JIRA
Financial Analysis

Awards & Certifications

Academic Scholarship (NJIT)
Big Data (IBM)
Digital Marketing (Google)
Google Analytics (Beginner & Advanced)

Internship Experience

Generative AI (BCG)
Data Analytics & Visualization (Accenture)
Data Visualization (Tata)
Power BI (PwC)
Technology Consulting (SAP)

Work Experience

Optimove

Customer Data Engineer

At Optimove, I designed and implemented scalable ETL pipelines using SQL, Python, Airflow, and Snowflake, enhancing data ingestion and transformation processes. Collaborating with cross-functional teams, I addressed complex data quality issues and improved client onboarding efficiency. Additionally, I provided technical support and troubleshooting, ensuring minimal disruptions to operations by resolving critical data challenges.

New Jersey Institute of Technology

Teaching Assistant - Computer Systems and Network Security

As a Teaching Assistant, I streamlined lab operations by optimizing inventory distribution, reducing setup time by 20%. I developed over 40 instructional materials, positively impacting the learning experience for more than 150 students by enhancing content clarity and engagement.

Business Development Analyst (Autonomous Truck Driving Model)

I conducted extensive market research and competitive analysis, identifying trends that informed the addition of three new truck features. Leading as the Entrepreneurial Lead for the NSF Regional I-Corps program, I interviewed 20+ industry experts, addressing operational inefficiencies and recommending strategic shifts toward semi-autonomous truck solutions.

Data Operations Analyst

Managing a comprehensive transition of insurance providers, I led testing phases and optimized the DegreeWorks platform through 50+ automated scripts. I also designed ERDs for student programs, improving data retrieval speeds by 25% and minimizing redundancy.

Financial Data Analyst (CSR Report and Financial Performance Analysis)

I analyzed CSR data from 200+ companies using Stata, identifying impactful ESG metrics. By developing over 40 interactive dashboards, I facilitated targeted insights and visual reporting, correlating CSR performance with financial outcomes for strategic decision-making.

Faces Canada

Supply Chain Data Analyst

At Faces Canada, I enhanced warehouse operations by implementing a centralized inventory management system, reducing lead times and operational costs. By automating order fulfillment processes, I saved over 50 hours monthly, ensuring accuracy and efficiency in inventory tracking.