Vighneshwar Manchikatla

Data Engineer

Pune, Maharashtra, India4 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in building scalable data pipelines.
Proficient in AWS, Azure, and Python.
Led successful data engineering projects at Infosys.

Stackforce AI infers this person is a Data Engineering professional with expertise in IoT and B2B solutions.

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Skills

Core Skills

Data EngineeringPython (programming Language)Web Development

Other Skills

AWSCreative Content CreationContent DesignKafkaMongoDBAzure DatabricksPower BIAzure BlobAzure SQLAzure Communication ServicesReactHivePySparkAutosysAngularJS

About

Data Engineer with 3 years of experience building scalable data pipelines, optimizing ETL workflows, and managing large datasets. Proficient in tools like SQL, Python, and cloud platforms, including Azure. Skilled in designing efficient data architectures that drive insights and support business growth. I enjoy solving complex data challenges and collaborating with teams to create impactful, data-driven solutions. Let’s connect to explore how data can unlock business potential!

Experience

4 yrs 1 mo

Total Experience

3 yrs 2 mos

Average Tenure

6 mos

Current Experience

Youtube

Content Creator

Nov 2025 – Present · 6 mos

Check out my work on below links

Creative Content CreationContent Design

Ibm

Data Engineer

Jun 2025 – Present · 11 mos · Pune District, Maharashtra, India · Hybrid

AWS data engineer

AWSData Engineering

Infosys

3 roles

Senior Systems Engineer

Promoted

Jan 2025 – Jun 2025 · 5 mos

Implemented an end-to-end streaming pipeline using Kafka, MongoDB, Azure Databricks, and Power BI, enabling
real-time data processing and analytics for IoT devices for rewards application.
Led a team of 3 in building a data pipeline for on boarding and background check of new vendor members to the
client network, utilizing Azure Blob, Azure SQL, Azure Communication Services and integrating with a React
application for seamless user interaction
Created a data quality frameworks for Hive-to-Hive dimension and fact tables, resulting in a 20% reduction in data
quality issue reports.

Data EngineeringPython (Programming Language)KafkaMongoDBAzure DatabricksPower BI+4

System Engineer

Sep 2022 – Jan 2025 · 2 yrs 4 mos

Engineered and deployed PySpark transformations over Hive, processing over 1 Million records daily across multiple
dimension tables.
Developed robust log check logic to avoid trigger of ETL jobs when no data arrived from downstream 400+ failure
reduction existing check jobs.
Automated the generation of JIL files for 450+ Autosys jobs in a Hive-to-Hive data warehousing solution using
PySpark, optimizing job scheduling for age centric banking application.

Data EngineeringPython (Programming Language)PySparkHive