Hi, My Name is
Shantanu Fuke.
I love challenging myself every day
I’m a technologist with 4+ years of experience in PL/SQL, ETL development, and scalable system design. Currently pursuing my Master’s in Computer Science at Texas A&M University-Kingsville, I’m passionate about solving real-world problems through data-driven and software engineering solutions.
Hi there! I’m Shantanu Fuke, a Data Engineer with 4+ years of experience in PL/SQL, ETL development, and building scalable data pipelines. I’m currently pursuing my Master’s in Computer Science at Texas A&M University-Kingsville, with a strong focus on cloud data platforms, big data technologies, and analytics solutions. I’m actively seeking full-time roles in Data Engineering and related domains.
- 4+ years of professional experience in Data Engineering, specializing in building scalable ETL pipelines, data integration, and database optimization using SQL, PL/SQL, and Python.
- Proficient in data engineering tools and frameworks including Apache Spark, Airflow, Hadoop, Snowflake, BigQuery, and cloud platforms like AWS and Azure.
- Skilled in developing APIs with Flask/Django, automating workflows with Docker and Kubernetes, and applying ML workflows using TensorFlow, PyTorch, and Keras.
Sep 2025 - Present
Actum Processing
Oracle APEX Developer
⦿ Designing and developing Oracle APEX applications to support business workflows and payment processing systems..
⦿ Writing and optimizing PL/SQL procedures and functions for backend data processing..
⦿ Integrating APEX applications with external services and REST APIs for seamless data exchange..
Jan 2024 - Dec 2024
Texas A&M University
Graduate Research Assistant
⦿ Built modular Python pipelines to convert large FASTA files into model-ready format, reducing processing time by 60%.
⦿ Applied CNN, RNN, and LSTM models for DNA sequence classification, improving prediction accuracy by 35% over baseline.
⦿ Structured the pipeline for reusability with clear separation of data loading, transformation, and model training stages.
⦿ Developed and optimized C++ code to generate mutated DNA sequences, accelerating synthetic dataset creation by 70%.
⦿ Used Amazon S3 to centralize raw and processed genomic data, streamlining access for preprocessing and training.
⦿ Built a Databricks workflow triggered by DNA file uploads to AWS S3, using PySpark to read sequences and append predictions from a trained Keras model, saving results as a CSV file and reducing manual workload by 80%.
Oct 2021 - July 2023
Deloitte Consulting
Data Engineer | Oracle PL/SQL Developer
⦿ Streamlined GCP to Oracle RMS data transfer using PL/SQL procedures, reducing stock ledger upload time by 40%.
⦿ Built PL/SQL integration to load retail invoices into SAP ERP, improving workflow efficiency and data accuracy by 60%.
⦿ Led development of an Oracle Retail Cloud ETL program to automate location list creation, reducing manual effort by 70%.
⦿ Developed BI Reports for invoices, stock ledger, and deals to enhance insights in the Oracle Retail Suite.
⦿ Replicated Oracle transformations in PySpark/Spark SQL for benchmarking and cloud-readiness testing.
⦿ Simulated PL/SQL batch jobs in Apache Airflow to improve orchestration visibility and recovery.
⦿ Rebuilt legacy Oracle BI logic in Snowflake using modular dbt models as part of a cloud migration initiative.
April 2019 - October 2021
Tata Consultanccy Services
Data Engineer | Oracle PL/SQL Developer
⦿ Built PL/SQL ETL to migrate 80% of Coupa PO data to Oracle EBS, saving 20+ hrs/week via batch automation.
⦿ Automated user creation in Oracle EBS using PL/SQL and email integration, improving onboarding efficiency by 60%.
⦿ Enhanced Oracle Forms/Reports and applied performance tuning to support high-volume transactions.
⦿ Scheduled and monitored data load jobs (invoices, POs, users) using Control-M for timely execution.
⦿ Simulated Control-M workflows in Apache Airflow to assess orchestration, dependencies, and alerting for cloud readiness.
⦿ Prototyped Oracle flat-file ingestion using Azure Data Factory to simulate cloud-native orchestration.
Featured Project
Olympic Insights Cloud Data Pipeline
Built an end-to-end, cloud-native data pipeline to ingest, clean, and transform Olympic datasets using Azure Data Factory and Databricks (PySpark). Loaded processed data into Azure Synapse and visualized insights through interactive dashboards in Power BI.
- Azure Data Factory
- Databricks
- PySpark
- Azure Synapse Analytics
- Power BI
Featured Project
E-Commerce Data Lakehouse Pipeline
Built a medallion architecture pipeline using Azure Data Factory and Databricks (PySpark) to ingest, transform, and store e-commerce data in Delta Lake. Queried the Gold layer using Databricks SQL to extract business insights.
- Azure Data Lake
- Azure Data Factory
- Databricks
- Delta Lake
- PySpark
- Databricks SQL
Python
I am proficient in Python and have used it extensively for backend development, data analysis, and machine learning projects. I am familiar with libraries like NumPy, Pandas, Matplotlib, and Scikit-learn.
Master of Science in Computer Science
Texas A&M University
- Database Systems
- Analysis of Algorithms
- Foundation of Data Science
- Cloud Computing
- Artificial Intelligence
- Application of Neural Networks
Courses
2023 - 2025
GPA: 3.92
Bachelor of Technology
Government College of Engineering Amravati
- Software Engineering
- Microprocessor & Microcontrollers
- Image Processing
- Computer Networks
- Operating Systems
Courses
2015 - 2019
GPA: 3.74