Shabari Nath Kanjiramkunnathu
Sydney,Nova Scotia
Summary
A Data Engineer specializing in end-to-end data connection solutions within the Supply Chain domain. With a knack for crafting seamless data pipelines, I bridge the gap between online platforms and ERP systems, enabling data-driven decision-making. Proficient in Big data tech, I thrive on solving complex integration challenges. I'm committed to continuous learning and am open to connecting for exciting opportunities and collaborations.
Overview
4
4
years of professional experience
Work History
Data Engineer
Datakriya Private Ltd.
02.2020 - Current
- Served as the lead for engineering and data governance
- Built the infrastructure required for extraction, transformation, and loading of data from a variety of data sources (S3, RDS, 3rd party API's)
- Automating manual Data ETL processes, optimizing data delivery, re-designing existing cloud infrastructure for greater scalability
- Built data connectors for: Marketing APIs - Facebook, GA, GAds, Bing; CIN7 inventory management system; Shopify POS system using singer.io tap/target; 3rd party logistics - Fedex, DHL, DPD & Aramex.
- Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
- Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
- Collaborated with cross-functional teams for seamless integration of data sources into the company''s data ecosystem.
- Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.
- Developed custom algorithms for advanced analytics, driving actionable insights from large datasets.
- Managed cloud-based infrastructure to ensure optimal performance, security, and cost-efficiency of the company''s data platform.
- Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
- Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
- Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
Education
Post-Baccalaureate Diploma in Business Analytics -
Cape Breton University
Cape Breton, NS05.2024
PGDM - Supply Chain & Logistics Management -
Sadanam Institute of Commerce and Management Studies
07.2017
BTech Computer Science Engineering -
Amrita Vishwa Vidyapeetham
07.2015
Skills
- REST APIs
- Selenium
- MySQL
- Redshift
- S3
- Kafka
- Python
- Data Integration
- Data Governance
- PySpark
- Athena
- Git
- Airflow
- Docker
- Lambda
- Cron
- Data modeling
- Tableau
- Data mining
- Predictive analytics
Projects
- Laptop price prediction using Python and regression modeling: Developed a Python-based laptop price prediction model using linear regression, Random forest and Decision trees. Analyzed and processed data, optimized algorithms for improved accuracy, and visualized results, achieving notable precision in price forecasts.
Python, Seaborn, Tableau : 09/2023 - 12/2023
- Store sales data analysis and modeling : Executed a data mining project analyzing store sales data using Python. Applied linear regression and decision tree techniques to uncover sales patterns and predict future trends, enhancing data-driven decision-making,
Python, Seaborn, Tableau : 09/2023 - 12/2023
- Tweet analysis of the brand Hexoskin: Performed sentiment and thematic analysis on raw data (tweets) pulled from Twitter API.
Nvivo , Python, Pandas Dataframe, Twitter API, Google translate API : 09/2023 - 12/2023
Timeline
Data Engineer
Datakriya Private Ltd.
02.2020 - Current
Post-Baccalaureate Diploma in Business Analytics -
Cape Breton University
PGDM - Supply Chain & Logistics Management -
Sadanam Institute of Commerce and Management Studies
BTech Computer Science Engineering -
Amrita Vishwa Vidyapeetham
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