Maligireddy Jalendar Reddy

I'm a passionate

Still Under Development...!

About

Learn more about me

Data Engineer/Data Science learner

Hello everyone,I'm engineering student.Goal-driven creative mindset with a passion for learning and innovating. I'm on a track for learning more about Artificial Intelligence, Machine learning, Data Engineering, Cloud Engineering and Data Science.

Birthday: June 10 1997
Website: Click here
Phone: contact via mail :)
City: Denton, Texas

Age: 26
Degree: Master's in Data Science
Email: jmaligireddy97@gmail.com
Freelance/Full-Time/Contract: Available

What would you do if you knew your dreams will come true? If there was no risk of failure? Free up your mind and think about all the infinite possibilities life gives us. Don’t limit yourself while you are dreaming. When I started writing down my dreams, I thought my dreams were too big. I thought they were impossible. But you know what? Nothing is impossible. Don’t constrain yourself by what you think or what other people think.

Happy Clients

Projects

Hours Of Support

Achievements

Skills

Programming languages

Python80%

Java80%

C language 80%

HTML 100%

CSS 90%

JavaScript 75%

SQL 90%

Pyspark 80%

Databases

Cassandra

Mongodb

IBM DB2

Snowflake

Sqlserver

Mysql

Postgres Sql

Oracle

Data Visualization

Power BI

Tableau

PYthon Libraries

Data Studio

Cloud Skills

Azure

★ ★ ★ ★ ★

Azure Virtual machine (VM)

Azure Functions

Blob storage

File Storage

Virtual Network

Load Balancer

SQL Database

Cosmos DB

Synapse Analytics

Streaming Analytics

Machine Learning

Data Factory

Monitor

Resource Manager

Active Directory

Key Vault

Data Bricks

AWS

★ ★ ★ ★ ☆

Elastic compute cloud (EC2)

Lambda

Simple Storage Service (S3)

Elastic File System

Virtual Private Cloud

Elastic Load Balancing

RDS

Dynamo DB

Redshift

Kinesis

SageMaker

Glue

CloudWatch

CloudFormation

IAM

KMS

GCP

★ ★ ☆ ☆ ☆

Compute Engine

Cloud functions

Cloud Storage

File Store

Virtual Private Cloud

Cloud Load Balancing

Cloud SQL

Firebase Realtime Database

BigQuery

Dataproc

Vertex AI

Data Fusion

Pub/Sub

Cloud Monitoring

Cloud Identity

Cloud KMS

Big Data

Hadoop

Mapreduce

Kafka

Cloudera

Other skills

Terraform

Docker

unix

Visual Studio

Windows OS

Mac OS

Office 365

Interests

Data Science

Machine Learning

Git/Github

Software Engineer

Open Source

Photography

Badminton

Chess

Certifications

“The Azure Data Engineer certification (DP-203) is designed for professionals who implement data solutions on Microsoft Azure. It covers a range of skills including data storage, data processing, and data security. Candidates learn to integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions. This certification emphasizes the use of Azure services like Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics. It's ideal for those looking to demonstrate their expertise in data engineering on the Azure platform.” View

Azure Data Engineer

Data Engineer

The Azure Data Fundamentals certification (AZ-900) is an entry-level certification aimed at individuals seeking foundational knowledge in cloud services, specifically those offered by Microsoft Azure. This certification covers core Azure services, basic cloud concepts, core solutions and management tools, general security and network security, governance, privacy, compliance features, and Azure cost management and service level agreements. It's particularly suitable for those new to cloud computing or Azure, and it serves as a stepping stone for more advanced Microsoft certifications. The AZ-900 is ideal for individuals looking to validate their basic understanding of cloud services and how those services are provided with Microsoft Azure. View

Azure Data Fundamentals

Data Engineer

"Python for Everybody" on Coursera is a comprehensive program designed to introduce beginners to the world of programming using Python. It starts with "Programming for Everybody," teaching Python basics. "Python Data Structures" delves into data handling. "Using Python to Access Web Data" explores web data interaction. "Using Databases with Python" covers database management, and the program culminates in the "Capstone: Retrieving, Processing, and Visualizing Data with Python," where students apply learned skills in a practical project. This series is ideal for those starting their journey in programming, data analysis, and web data handling, providing a solid foundation in Python. View

Python for Everybody

Python

"Data Engineering, Big Data, and Machine Learning on GCP" is a specialized course focusing on building and deploying data and machine learning solutions on Google Cloud Platform (GCP). It covers the fundamentals of Google Cloud's data processing capabilities, teaching participants how to design, build, and operationalize data processing systems. Key topics include managing and analyzing big data, using GCP's fully managed, scalable data analytics services, and employing machine learning models to gain insights from data. The course is ideal for data professionals and engineers looking to leverage GCP for advanced data solutions, including real-time analytics and machine learning-driven data interpretation. View

Data Engineering, Big Data, and Machine Learning on GCP

Data Engineer/ML Engineer

Resume

Check My Resume

Sumary

Maligireddy Jalendar Reddy

Goal-driven creative mindset with a passion for learning and innovating.

Denton, Texas
jmaligireddy97@gmail.com

Education

Masters

2021 - 2023

University of North Texas, Denton

Data Science

Bachelor of Technology

2015 - 2019

Jawaharlal Nehru Technological University, Hyderabad

Mechanical Engineering

12th class/High School

2013 - 2015

Narayana Junior College , Hyderabad

MPC

10th class

2012 - 2013

Aryan The School , Miryalaguda

General

Professional Experience

Mukegroup INC.

Software Engineer

01/2023 - Present

Contract

Implemented highly available and scalable Azure cloud data solutions, driving a 40% boost in data processing speed.
Developed data lake and data warehouse architectures for improved data retrieval.
Utilized Azure Data Factory, Azure Databricks, and Cosmos DB for data processing and analysis.
Transformed and manipulated data using Azure Databricks, enhancing data quality and accuracy by 20%.
Architected ETL and ELT solutions on diverse data storage platforms.
Managed end-to-end data workflows, migrating on-premises data to Azure via ADF, conducting transformations with Databricks, and storing data in Snowflake. Leveraged Power BI for insightful reports and ADF for seamless pipeline management.
Proficient in Azure Databricks with hands-on experience in utilizing technologies such as PySpark, Scala, and Python SQL for data processing, analysis, and machine learning.
Supported the transition of development pipelines into production, ensuring a smooth and reliable deployment process for data integration and processing solutions.
Participated in daily standup calls and maintained Jira tasks for project alignment in DevOps.
Github Profile

University of North Texas

Project Assistant

08/2021 -12/2022

Hybrid

Educated and guided more than 60 students in comprehending and building efficient more than 30 real-world Machine Learning models.
Students in using different technologies such as Python, Java, C#, Advanced SQL, R and tools like Tableau, PowerBI, SPSS, RapidMiner, Excel, SASS Studio, Amazon QuickSight.

Tata Consultancy Services

Kolkata, India

01/2020 - 07/2021

Hybrid

Project: Citi Bank, Kolkata

Hadoop algorithms using Spark, Spark SQL, and Spark Streaming, resulting in a 30% increase in pipeline application efficiency.
Designed ETL objects and Hive scripts for efficient data transformation and loading.
Collected and aggregated log data using Flume for further analysis and insights.
Migrated tables and applications to AWS cloud (S3) using PySpark, enabling faster data extraction, aggregation, and analysis by 50%.
Proficient in various AWS services including AWS S3 for data storage, Amazon Kinesis for real-time streaming data analysis, AWS Glue for ETL pipelines, AWS CloudWatch for log metrics analysis, Amazon Redshift for data warehousing, AWS IAM for access control, AWS Lambda for serverless computing, Amazon EMR for large-scale data processing, Amazon DynamoDB as an RDBMS system, and Amazon Athena for querying data.

Project: BT Group PLC, Kolkata

Migrated and transformed large volumes of structured, semi-structured data from diverse sources.
Boosted data extraction, transformation, and aggregation efficiency by 35% through the development and optimization of PySpark applications.
Analysed SQL and Hive/Spark scripts, improving query performance.
Created interactive dashboards and reports using Power BI and Tableau for data-driven decision-making.
Implemented advanced data mining techniques, delivering actionable insights, and reducing processing time by 30%.

S R Consultancy

Trainee Engineer

Hyderabad, India

06/2017 - 12/2019

In person

Implemented and optimized multi-node Hadoop clusters, leading to a 30% raise in data processing efficiency.
Contributed to SQL database design, construction, monitoring, and maintenance.
Deployed data pipelines in Azure Data Factory (ADF) using JSON scripts and efficient ETL business rules.
Created interactive Power BI reports and dashboards, consolidating data from multiple sources and providing actionable insights.
Translated client requirements into effective database solutions, delivering tailored solutions that enhanced operational efficiency by 10%.
Improved system performance through efficient server implementation and seamless database migration.