Hi, I'm Manikya Kolekar

Implementation Engineer

Building automated solutions with Python, SQL, and SaaS systems to drive business efficiency. Specializing in SAP integration, workflow automation, and master data management.

Manikya Kolekar

About Me

I'm an Implementation Engineer & Data Automation Specialist with expertise in Python, SQL, SAP integration, and workflow automation. Currently implementing enterprise systems at Zino Technologies while leveraging data analytics to optimize business processes.

Education

  • SDM Institute of Technology | BE Information Science | GPA: 8.86/10.00 (Dec 2020 - May 2024)
  • Jawahar Navodaya Vidyalaya | CBSE

1+

Years Experience

15%

Manual Effort Reduced

30-35

Days to 3 Hours (Workflow Optimization)

25%

Platform Adoption Improved

Technical Skills

Programming

Python, SQL, HTML/CSS, JavaScript

Data & Analytics

Power BI, DAX, Power Query, Excel, Tableau

Integration & Automation

REST APIs, Data Pipelines, Workflow Automation, SAP

Libraries & Tools

Pandas, NumPy, Postman, Git, MySQL, PostgreSQL

Domain Expertise

SaaS Implementation, Master Data Management, ETL, Client Onboarding

Methodologies

Agile, UAT Coordination, Production Support

Professional Experience

Implementation Engineer

Zino Technologies
Jun 2024 - Present
Bangalore, Karnataka
  • Implemented and supported enterprise and SaaS-based systems, ensuring stable releases and faster issue resolution
  • Collaborated with business stakeholders to gather requirements and configure applications, reducing rework and change requests
  • Built and optimized Python and SQL-based automation to validate, transform, and push master data into SAP systems, reducing manual effort by 15%
  • Supported end-to-end client onboarding, UAT coordination, and production issue resolution
Python SQL SAP Automation SaaS

Data Science with AI/ML Intern

Cranes Varsity
Aug 2023
Bangalore, Karnataka
  • Built and evaluated machine learning models using Python
  • Automated data preprocessing workflows, reducing data preparation time by 30%
Machine Learning Python Data Preprocessing Automation

Key Projects

Warehouse Implementation

Warehouse Implementation & Master Data Automation (Adani Group)

Tech Stack: Python, SQL, REST APIs, SAP

Implemented and automated enterprise warehouse master data workflows for a large-scale supply chain system. Introduced DigiPIN-based location identification to uniquely and accurately map warehouse addresses. Re-engineered manual validation and approval workflows using Python and SQL-based automation, reducing warehouse creation turnaround time from 30-35 days to under 3 hours.

30-35 days → 3 hours
Mentoring Platform

Mentoring Platform Implementation

Tech Stack: Workflow Automation, Dashboards, SaaS Configuration

Implemented a web-based mentoring platform with role-based access and automated workflows. Automated onboarding, notifications, session tracking, and feedback capture. Designed dashboards to monitor mentor-mentee engagement and platform usage, improving platform adoption and engagement by 25%.

25% adoption increase
SaaS Reporting

SaaS Reporting & Workflow Automation

Tech Stack: Python, SQL, Power BI

Designed and implemented automated dashboards using Power BI to track operational KPIs. Built data pipelines using Python and SQL for data transformation and system integration. Automated recurring workflows, reducing manual operational effort by 15%.

15% manual effort reduced
Sales Dashboard

Sales & Performance Dashboard

Tech Stack: Power BI, DAX, Power Query

Developed interactive Power BI dashboards to analyze sales performance by region and category. Created DAX measures for KPIs including revenue, margins, and growth. Cleaned and transformed datasets using Power Query and calculated columns for enhanced data visualization.

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