Priyanka Sain — Data Engineer

Seasoned Data Engineer & Analytics Professional | Supply Chain Optimization | Business Intelligence | Digital Transformation With 7 years of experience at the intersection of data engineering, analytics, and supply chain, I specialize in designing and delivering scalable data pipelines, business intelligence solutions, and optimization models that drive measurable business outcomes. My work spans across data engineering, business analysis, and advanced analytics, enabling organizations to streamline processes, unlock insights, and achieve operational excellence. I’ve successfully partnered with Finance, Sales, and Supply Chain teams to build solutions that improve decision-making, governance, and automation. Core Highlights & Expertise Data Engineering & Orchestration – Designed and deployed pipelines using Apache Airflow, Hadoop, PySpark, Hive, Oozie, Databricks, Azure Data Lake to ensure robust, scalable data ecosystems. Integration & Automation – Led integration projects, built Python-based automation frameworks for validation, and reduced manual effort by 40% through governance-driven solutions. Business Intelligence & Visualization – Developed interactive dashboards in Power BI, improving sales visibility, partner onboarding cycles, and executive decision-making. Analytics & Modeling – Applied statistical modeling, regression, classification, forecasting, and implemented simulation (AnyLogic) & optimization (AIMMS) models to solve supply chain challenges such as inventory redistribution. Business Analysis & Stakeholder Engagement – Skilled in requirement gathering, BRD/SRS documentation, UAT testing, release training, and engaging 800+ global end users to drive adoption of analytics programs. Agile Project Delivery – Managed cross-functional initiatives using JIRA/Confluence, ensuring 100% on-time delivery of multi-stakeholder projects. Community Contribution – Actively share knowledge through blogs, LinkedIn articles, and internal wikis on data engineering, Power BI, secure coding, supply chain analytics, and containerization (Docker, Airflow, Spark pipelines). I thrive at the crossroads of data, technology, and business operations, turning complex datasets into strategic insights and optimization opportunities. Always curious, always building — I bring together technical depth, business context, and stakeholder alignment to deliver end-to-end value. Let’s connect if you’re looking to leverage data as a strategic asset in your digital and supply chain transformation journey.

Stackforce AI infers this person is a Data Engineering and Analytics professional specializing in Supply Chain Optimization.

Location: Bengaluru, Karnataka, India

Experience: 7 yrs 7 mos

Skills

Data Engineering
Business Intelligence

Career Highlights

Designed scalable data pipelines for global supply chain.
Automated Power BI dashboards, enhancing operational visibility.
Led integration projects, reducing manual effort by 40%.

Work Experience

Intel Corporation

Data Engineer (3 yrs 9 mos)

Dell Technologies

Senior Analyst (1 yr 1 mo)

Tata Consultancy Services

System Engineer (9 mos)

Assistant System Engineer (2 yrs)

Order Your Services

Android Developer (2 mos)

Tata Consultancy Services

Remote Intern (1 mo)

Education

Bachelor of Technology (B.Tech.) at Poornima College of Engineering

at tilak public school,jaipur

Priyanka Sain

Data Engineer

Bengaluru, Karnataka, India7 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Designed scalable data pipelines for global supply chain.
Automated Power BI dashboards, enhancing operational visibility.
Led integration projects, reducing manual effort by 40%.

Stackforce AI infers this person is a Data Engineering and Analytics professional specializing in Supply Chain Optimization.

Contact

Skills

Core Skills

Data EngineeringBusiness Intelligence

Other Skills

Apache AirflowAzure Data LakeDatabricksPySparkSQLPower BIPythonAirflowData GovernanceAb InitioTableauJavaData ScienceDockerSupply Chain Optimization

About

Experience

7 yrs 7 mos

Total Experience

2 yrs 6 mos

Average Tenure

3 yrs 9 mos

Current Experience

Intel corporation

Data Engineer

Aug 2022 – Present · 3 yrs 9 mos · Bengaluru, Karnataka, India

Led the design and deployment of scalable, production-grade data pipelines and architectures using Azure Data Lake, Databricks, and Airflow, enabling unified data platforms for global supply chain, manufacturing, and business analytics.
Architected and optimized PySpark and SQL pipelines to process multi-terabyte datasets, improving query performance by 40% and reducing data latency to support real-time insights.
Designed ETL/ELT frameworks for ingesting, transforming, and harmonizing structured and unstructured data, implementing automated validation, monitoring, and data governance controls to ensure lineage, quality, and compliance.
Built and scaled supply–demand balancing and forecasting pipelines, integrating Airflow, Databricks, and Azure Data Lake to enable predictive analytics, scenario modeling, and business continuity planning.
Developed and automated Power BI dashboards and supplier risk reporting using Python, SQL, and Airflow, cutting reporting lag by 60% and improving visibility into operational KPIs.
Collaborated with data scientists, product owners, and business leaders to align data models with key metrics and analytical requirements, ensuring consistency and usability across enterprise systems.
Championed knowledge sharing and mentorship on data modeling, distributed data processing, and performance optimization, fostering a data-driven culture and engineering excellence.

Apache AirflowAzure Data LakeDatabricksPySparkSQLPower BI+2

Dell technologies

Senior Analyst

Jun 2021 – Jul 2022 · 1 yr 1 mo

deliver projects/manage stakeholders in Demand Planning (Supply Chain Execution) Team.
Collaborate across departments - working with various stakeholders within the organisation. Also, working closely with Data analysts, Business analysts, and Data science teams, performing data refining for various analytics initiatives and consumption requirements.
primarily responsible for designing, building, managing, and operationalizing data pipelines in support of key data and analytics use cases. also, accountable for guaranteeing compliance with data governance, data privacy, and data security requirements.
Scripting in python and pyspark.

PythonPySparkData EngineeringData Governance

Tata consultancy services

2 roles

System Engineer

Promoted

Sep 2020 – Jun 2021 · 9 mos

Roles and Responsbilities
Data profiling using SQL.
develop SQL scripts for data migration.
Efficiently load and transform data into a DWH.
Running and maintaining the reporting system, presenting insights at a weekly forum.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
responsible for establishing and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional/cross-application teams.
Working with data pipeline and workflow management tools.
worked on development projects with extensive use of Ab-Initio transformations graphs and scheduling.
Created DAX Queries to generate Computed Columns and measures in Tableau.
Mastered the ability to design and deploy rich graphic visualisations using Tableau.
Scheduling the etl Jobs.
Load the Data from Universal Data lake to Cleansed Data lake using Spark
-Load the Data from Universal Data lake to Cleansed Data lake using Spark, further pushing the data to Application Data Layer by creating the required ingestion Pipelines.
-Loading the Data from Application Data Lake layer to SQL Data Warehouse.
-Further Aggregating the Data to form Data Cube and push it to Tableau for data Visualization
-Developing ingestion pipelines and data analysis systems
-Written Trigger, Index, Views, Stored Procedure and Function in SQL Server.
-Performing data wrangling, crunching and orchestrating using Spark Engine
Designing framework for ETL data flows using Ab-initio Data Integrator, Teradata SQL Assistant. Designing Ab-initio graphs between different modules, reviewing the graphs developed by other team members.
Engineer streaming data processing pipelines.

SQLAb InitioTableauData Engineering

Assistant System Engineer

Sep 2018 – Sep 2020 · 2 yrs

Roles And Responsibilities:
Created Tableau Dashboard with filters, parameters and calculated fields-Developing, Designing and supporting interactive Tableau Dashboard reports by using some calculated fields, maintaining graphs, groups, sets, bins, hierarchies etc.-Worked on Data blending and extract the data through connecting various sources, sources like Oracle, Salesforce, MS-Excel.
Created Dashboard with filters, parameters and calculated fields-Developing, Designing and supporting interactive Tableau Dashboard reports by using some calculated fields, maintaining graphs, groups,sets, bins and hierarchies.-Worked on Data blending and extract the data through connecting various sources.
Report-Dashboard development on Tableau.

Tableau