Toulik Das

Data Engineer

Hyderabad, Telangana, India4 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led development of enterprise data marketplace platform.
  • Achieved rapid promotion within a year.
  • Expert in blending technology, AI, and governance.
Stackforce AI infers this person is a Data Engineering expert in the Healthcare sector with a focus on scalable cloud solutions.

Contact

Skills

Core Skills

Data EngineeringCloud SolutionsData Marketplace DevelopmentData Quality Management

Other Skills

A/B TestingAPI GatewaysAWS CloudFormationAWS GlueAWS LambdaAWS StorageAgile & Waterfall MethodologiesAgile Application DevelopmentAirflowAmazon DynamoDBAmazon Web Services (AWS)Apache SparkBig DataBig Data AnalyticsC++

About

"Driving Data Innovation: Cloud, AI, and Governance Expertise for Scalable Solutions". 🚀 Data Engineer with 4+ years of experience in designing data centric applications and automating data pipelines for Fortune 500 giants like Novartis. 💡 Led the development of an enterprise data marketplace platform, integrating partner systems to streamline access to organizational data/metadata, driving smarter decision-making. 📈 Achieved a swift promotion from Associate Data Engineer to Specialist Data Engineer within a year, thanks to impactful contributions to data marketplace initiatives. 👩‍🚀 Passionate about blending technology, AI, and governance to deliver scalable data solutions!

Experience

4 yrs 10 mos
Total Experience
4 yrs 10 mos
Average Tenure
4 yrs 10 mos
Current Experience

Novartis

4 roles

Senior Data Engineer

Promoted

Sep 2025Present · 9 mos · Hyderabad, Telangana, India · Hybrid

  • Driving the design and development of scalable solutions that enable businesses to uncover insights and improve data discoverability.
DatabricksCollibraData EngineeringCloud Solutions

Specialist Data Engineer

Promoted

Dec 2022Sep 2025 · 2 yrs 9 mos · Hyderabad, Telangana, India · Hybrid

  • Working as a part of the Data Self-Service team to develop and shape data-centric applications that simplify data-driven decision-making across the organization.
  • Collaborated with a 6-member cross-functional data self-service team to create user-friendly internal applications that improved the efficiency of data engineering, modeling, and analytics workflows by ~35%.
  • Contributed to the design and development of two major enterprise tools:
  • STTM (Source Target Tracking Manager): Enabled automated tracking of 5,000+ source–target mappings and data asset reconciliations.
  • Marketplace: Served as a centralized platform for 500+ users to explore, request, and acquire data assets across the organization.
  • Built robust backend services using AWS Lambda, EC2/ECS, RDS, and REST APIs, integrating data from multiple sources with 99.8% uptime.
  • Developed intuitive front-end interfaces with ReactJS, Dash, and JavaScript, reducing the average data asset onboarding time by ~40%.
  • Partnered with DevOps to deploy containerized applications using Docker and AWS ECS, and configured infrastructure components such as Load Balancers, VPCs, Security Groups, and Route 53 for secure and scalable operations.
  • Led the design and implementation of a User Activity Tracking System for all data self-service applications:
  • Captured 20+ key user interaction metrics using JS event tracking.
  • Stored logs in AWS DynamoDB and processed data through AWS Glue ETL pipelines.
  • Built a real-time analytics dashboard in Dash (later migrated to Power BI) that improved audit readiness and user behavior analysis, helping management make data-driven decisions on feature prioritization.
  • Collaborated with vendor systems, DevOps, and product management teams to plan feature releases, data integrations, and UAT cycles—ensuring on-time delivery of 10+ major features with 95%+ defect-free releases.
DatabricksSQLData EngineeringData Marketplace Development

Associate Data Engineer

Aug 2021Dec 2022 · 1 yr 4 mos · Hyderabad, Telangana, India · Hybrid

  • Made the organizational data marketplace rich and easily accessible by ingesting max. 10GB/day of data from various Master Data sources by fully automated ETL pipeline.
  • Working collaboratively with global stockholders, engineering leaders, data modeling & operations team on requirements/ongoing issues. Besides that, managing data quality testing team of 3 members, they ensure the data quality of ETL pipelines.
  • Actively participated on data quality analysis for customer, drug development, logistics, corporate master data and made downstream analysis process 20% more efficient by taking care on data wrangling activity.
  • Worked on large scale data integration solution to ingest various kind of data from relational databases as well as in file format - excel, csv, json, avro. Designed, Implemented, and tested the whole process automation using Airflow.
  • Currently got a transition to Data Asset Management Portal team, where working as a full stack developer to maintain and update existing features, it’s built on top of React Based frontend framework and In Backend It’s using AWS data services. Currently developing a user activity tracking portal to monitor traffics and user activities.
Extract, Transform, Load (ETL)AWS CloudFormationData EngineeringData Quality Management

Software Engineer Intern

Jan 2021Jun 2021 · 5 mos · Hyderabad, Telangana, India

  • Developed ETL pipelines for multiple use cases to Ingest data throughout different data layers.
  • Worked with CSV, Excel, Parquet, JSON data format to process them as per business requirements.
  • Monitor daily ETL tasks in Airflow, debug issues occurring during the ingestion process.
  • Developed API testing scripts to analyze data quality in different data layers.
  • Worked as a part of the Data Lineage team to develop a data lineage application.
  • Participated in multiple leadership connects, team building activities, coding & non-coding challenges.
PySparkAgile & Waterfall MethodologiesData Engineering

Teksystems

TEKsystems Mentorship Program

Aug 2020Oct 2020 · 2 mos · Bengaluru, Karnataka, India

  • As a part of this program, I worked on mini projects and daily assessments in different areas and gain knowledge in the following domains Android and web development, UI/UX design, database management, data analytics, artificial intelligence, software project management, cloud technologies and salesforce. At the end of this program, I'm not specialized in all these areas but it's helped me to become a generalized person in all those areas to understand the day in and out work techniques in the specific domains.

Education

Kalinga Institute of Industrial Technology, Bhubaneswar

Bachelor of Technology - BTech — Computer Science & Communication Engineering

Jul 2017Aug 2021

Udacity

Nanodegree — Data Science

Jan 2020Jan 2020

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