Shankar Jonnavaram

Senior Software Engineer

Bengaluru, Karnataka, India3 yrs 6 mos experience

Most Likely To Switch

Key Highlights

Expert in building scalable data platforms and pipelines.
Proficient in real-time CDC ingestion and batch processing.
Strong background in data governance and performance optimization.

Stackforce AI infers this person is a Data Engineer specializing in SaaS with expertise in data pipeline architecture.

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Skills

Core Skills

Data EngineeringData Governance

Other Skills

Amazon CloudWatchAmazon S3Amazon Web Services (AWS)Apache AirflowApache IcebergApache KafkaApache PrestoApache Spark StreamingApache SupersetBig DataBigQueryCloud ComposerData QualityDatabricksDebezium

About

Data Engineer with 3+ years of experience building scalable data platforms and pipelines for terabyte-to-petabyte workloads. Skilled in real-time CDC ingestion, batch processing, Spark, Kafka, Delta Lake, Snowflake, BigQuery, Hive, and Airflow. Experienced in optimizing query performance, reducing compute costs, implementing data validation, and enforcing data governance with RBAC and masking policies. Passionate about transforming raw data into reliable, actionable insights while ensuring high performance, scalability, and cost efficiency.

Experience

Jiohotstar

2 roles

Senior Software Engineer - Data Platform

Promoted

Nov 2025 – Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

SDE 2 - Data Platform

Sep 2024 – Nov 2025 · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Indium software

Data Engineer - Uber EXT

Sep 2023 – Aug 2024 · 11 mos · Hyderabad, Telangana, India · On-site

Byju's

2 roles

Software Engineer (Data Platform)

Jul 2022 – Aug 2023 · 1 yr 1 mo · Bengaluru, Karnataka, India · Remote

> Built Near-Real time streaming pipelines that use debezium connectors and kafka to stream changes from postgres DB to snowflake via change data captures process.
> Built batch pipelines using Snowflake's tasks and procedures to load data from cloud storages like S3 , GCS using external stages.
>Role based Access Controls (RBAC) and masking policies have been implemented as part of Snowflake's data governance to protect PII Data.
>Developed Python-based data pipelines to retrieve data from various sources using their APIs and efficiently loaded it into BigQuery (BQ) for further analysis.
>Implemented alerting mechanisms for Cloud Composer, improving environment monitoring and management capabilities.

KafkaSnowflakeS3GCSRBACPython+4