---
title: "Rakesh Lagare - PL/SQL and Python Developer in Bengaluru | Tal"
description: "Meet Rakesh Lagare, Data Analyst and Oracle Developer based in Bengaluru. AI stack includes claude code, gemini, and kiro."
image: "https://tal.club/meet/rakesh-lagare/share-image"
---

# Rakesh Lagare on Tal

## Headline

Data Analyst and Oracle Developer

## About

Results\-driven Senior Data Analyst with 8\+ years of experience in designing, building, and optimizing data pipelines, performing advanced analytics, and delivering actionable business insights\. Enthusiastic about turning unprocessed data into insightful knowledge to drive strategic decision\-making\. Domain : Retail, Payment Gateway, Financial Services, Supply chain Technical Expertise : • Python \(Pandas, NumPy, PySpark\), SQL, Shell Scripting • Apache Spark, PySpark, ETL/ELT, Data Warehousing • Tableau, Power BI, Seaborn, Matplotlib, Excel • Oracle, AWS \(Lambda, EC2, S3, API Gateway\)

## Location

Bengaluru

## AI stack

claude code

gemini

kiro

## Work experience

PL/SQL and Python Developer at Kyndryl pvt\.ltd, May 2026 \- Present · 6 mo, Bangalore

Data Analyst and Oracle Developer at nexnet GmbH, Jan 2021 \- Aug 2025 · 4 yrs 8 mos, Berlin, Germany, Strong expertise in building scalable data solutions, combining PySpark pipelines, SQL/Snowflake optimizations, and AWS cloud services to deliver high\-performance analytics\. Alongside automation in Python for reporting and data quality checks, you empowered business teams through self\-service Tableau dashboards and clear data storytelling, driving efficiency and actionable insights\.

Master Thesis Student at Fraunhofer FIT, Nov 2018 \- Apr 2019 · 6 mos, Cologne Bonn Region, Master Thesis \- "Unsupervised Detection of Patterns from Time Series Data" This thesis aims to provide an architecture that identifies motifs as well as discords in time series data and rank them based on frequency of occurrences\. ▪ Discovering patterns in time series data and rank them based on freque ncy of occurrences\. ▪ LSTM based Recurrent Neural Network\. ▪ Using Stateful LSTMs in Keras to train the model incrementally\. ▪ Linear Classi f i ers Sliding Window segmentation, Naive Bayes Classi fi er ▪ Framework: Keras, StatsModels , Pandas, Scikit learn, matplotlib

Data Analyst: Research Assistant at Fraunhofer FIT, Oct 2018 \- Feb 2020 · 1 yr 5 mos, Sankt Augustin, Hands\-on experience in building and optimizing machine learning and deep learning models for time series forecasting, classification, and clustering, achieving measurable accuracy improvements\. Skilled in Python, TensorFlow, and Django, you streamlined data preprocessing, validation, and visualization while implementing anomaly detection and statistical modeling to enhance decision\-making\.

Junior Data Analyst and Backend Developer at EOOOM Augmented Socializing, May 2017 \- Dec 2018 · 1 yr 8 mos, Cologne Bonn Region, ▪ Worked on designing and implementing SQL database and integrating client\-side application with server API via asynchronous tasks\. ▪ Conducting data analysis using SQL queries to assist in the reporting process\. ▪ Optimized data collection procedures and generated reports on a weekly, monthly, and quarterly basis\. ▪ Utilized Tableau and other visualization tools for data intelligence and analysis\. ▪ Extracted, compiled and tracked data, and analyzed data to generate reports\. ▪ Tech stack: Python, Tableau, SQL, C\#, HTML, CSS, GIT\.

Oracle Database Developer at Tata Consultancy Services, Dec 2013 \- Jun 2016 · 2 yrs 7 mos, Bengaluru, Karnataka, India, ▪ My role at TCS involved working in all aspects of the Oracle database designing, development covering migrating code and changing the databases as per requirement\. ▪ Performing capacity analysis and oversee database tuning and providing optimal design solutions\. ▪ Developing custom utilities to automate manually intensive tasks including mass schema changes, recovering Golden Gate corruptions\. ▪ Developing and managing advanced reporting analytics dashboards using Tableau\. ▪ Performing data replication between source and target database using Golden Gate configuration\. ▪ Writing complex PL/SQL, SQL queries and creating shell scripts\. ▪ Preparing reports based on analysis and presenting to management\. ▪ Implementing high availability of databases using Oracle 11g, 10g and 9i Data Guard to set up physical standby databases\.

## Education

Master's degree, Computer Science, RWTH Aachen University

Master's degree, Media Informatics, RWTH Aachen University

[View the original profile](https://tal.club/meet/rakesh-lagare)

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